AI Models & Pricing

Explore 809 AI models with transparent per-token pricing — ChatGPT, Claude, Gemini, DeepSeek, Qwen and more, all through one unified API.

AI21

aihubmix-Jamba-1-5-Large — $2.2/M input · $8.8/M output

Anthropic

claude-sonnet-5 — $2/M input · $10/M output
claude-fable-5 — $11/M input · $55/M output
claude-opus-4-8 — $5/M input · $25/M output
claude-opus-4-8-think — $5/M input · $25/M output
claude-opus-4-7 — $5/M input · $25/M output
claude-opus-4-7-think — $5/M input · $25/M output
claude-sonnet-4-6 — $3/M input · $15/M output
claude-sonnet-4-6-think — $3/M input · $15/M output
claude-opus-4-6 — $5/M input · $25/M output
claude-opus-4-6-think — $5/M input · $25/M output
claude-opus-4-5 — $5/M input · $25/M output
claude-opus-4-5-think — $5/M input · $25/M output
claude-haiku-4-5 — $1.1/M input · $5.5/M output
claude-sonnet-4-5 — $3.3/M input · $16.5/M output
claude-sonnet-4-5-think — $3.3/M input · $16.5/M output
claude-opus-4-1 — $16.5/M input · $82.5/M output
claude-3-7-sonnet — $3.3/M input · $16.5/M output
claude-3-opus-20240229 — $16.5/M input · $82.5/M output
anthropic-opus-4-6 — $5/M input · $25/M output
claude-2 — $8.8/M input · $8.8/M output
claude-2.0 — $8.8/M input · $39.6/M output
claude-2.1 — $8.8/M input · $39.6/M output
claude-3-haiku-20240229 — $0.28/M input · $0.28/M output
claude-3-haiku-20240307 — $0.28/M input · $1.38/M output
claude-3-sonnet-20240229 — $3.3/M input · $16.5/M output
claude-instant-1 — $1.79/M input · $1.79/M output
claude-instant-1.2 — $0.88/M input · $3.96/M output

BAAI

bge-large-en — $0.07/M input · $0.07/M output
bge-large-zh — $0.07/M input · $0.07/M output
BAAI/bge-large-en-v1.5 — $0.03/M input · $0.03/M output
BAAI/bge-large-zh-v1.5 — $0.03/M input · $0.03/M output
BAAI/bge-reranker-v2-m3 — $0.03/M input · $0.03/M output

Baichuan

Baichuan3-Turbo — $1.9/M input · $1.9/M output
Baichuan3-Turbo-128k — $3.8/M input · $3.8/M output
Baichuan4 — $16/M input · $16/M output
Baichuan4-Air — $0.16/M input · $0.16/M output
Baichuan4-Turbo — $2.4/M input · $2.4/M output

Baidu

ernie-5.1 — $0.56/M input · $2.54/M output
ernie-5.0 — $0.82/M input · $3.29/M output
ernie-image-turbo — $2/M input
musesteamer-air-image — $2/M input
qianfan-ocr — $0.06/M input · $0.25/M output
qianfan-ocr-fast — $0.66/M input · $2.74/M output
ernie-5.0-thinking-exp — $0.82/M input · $3.29/M output
paddleocr-vl-0.9b — $2/M input
pp-structurev3 — $2/M input
ernie-5.0-thinking-preview — $0.82/M input · $3.29/M output
embedding-v1 — $0.07/M input
ernie-4.5-turbo-latest — $0.11/M input · $0.44/M output
tao-8k — $0.07/M input · $0.07/M output
ernie-4.5 — $0.07/M input · $0.27/M output
ernie-4.5-turbo-vl — $0.4/M input · $1.2/M output
ERNIE-X1.1-Preview — $0.14/M input · $0.54/M output
ernie-x1.1-preview — $0.14/M input · $0.54/M output
baidu/ERNIE-4.5-300B-A47B — $0.32/M input · $1.28/M output
ernie-4.5-0.3b — $0.01/M input · $0.05/M output
ernie-4.5-turbo-128k-preview — $0.11/M input · $0.43/M output
ernie-x1-turbo — $0.14/M input · $0.54/M output
qianfan-qi-vl — $0.2/M input · $0.6/M output
cc-ernie-4.5-300b-a47b — $0.32/M input · $1.28/M output
qianfan-chinese-llama-2-13b — $0.82/M input · $0.82/M output
qianfan-llama-vl-8b — $0.27/M input · $0.69/M output

ByteDance

doubao-seed-2-1-pro — $0.93/M input · $4.65/M output
doubao-seed-2-1-turbo — $0.46/M input · $2.32/M output
doubao-seedream-5.0-pro — $2/M input
doubao-seedance-2-0-mini-260615 — $2/M input

ChatGLM

glm-4.5 — $0.4/M input · $1.6/M output
glm-4.5-x — $2.2/M input · $8.91/M output
THUDM/GLM-Z1-32B-0414 — $0.08/M input · $0.08/M output
THUDM/GLM-4.1V-9B-Thinking — $0.1/M input · $0.1/M output
THUDM/GLM-4-32B-0414 — $0.08/M input · $0.08/M output
THUDM/GLM-Z1-9B-0414 — $0.05/M input · $0.05/M output
THUDM/GLM-4-9B-0414 — $0.05/M input · $0.05/M output
glm-zero-preview — $2/M input · $2/M output
coding-glm-4.5-air — $0.01/M input · $0.08/M output
glm-4.5-air — $0.14/M input · $0.84/M output
glm-4.5-airx — $1.1/M input · $4.51/M output

Cohere

command-a-plus-05-2026 — $2.5/M input · $10/M output
cohere-rerank-v4.0-fast — $0.07/M input
cohere-rerank-v4.0-pro — $0.07/M input
embed-v-4-0 — $0.12/M input
cohere-command-a — $2.5/M input · $10/M output
command-a-03-2025 — $2.5/M input · $10/M output
aihubmix-Cohere-command-r — $0.64/M input · $1.92/M output
aihubmix-command-r-08-2024 — $0.2/M input · $0.8/M output
aihubmix-command-r-plus — $3.84/M input · $19.2/M output
aihubmix-command-r-plus-08-2024 — $2.8/M input · $11.2/M output
command — $1/M input · $2/M output
command-light — $1/M input · $2/M output
command-light-nightly — $1/M input · $2/M output
command-nightly — $1/M input · $2/M output
command-r — $0.64/M input · $1.92/M output
command-r-08-2024 — $0.2/M input · $0.8/M output
command-r-plus — $3.84/M input · $19.2/M output
command-r-plus-08-2024 — $2.8/M input · $11.2/M output

DeepSeek

deepseek-v4-flash — $0.15/M input · $0.31/M output
deepseek-v4-pro — $0.46/M input · $0.93/M output
deepseek-v3.2 — $0.3/M input · $0.45/M output
deepseek-v3.2-think — $0.3/M input · $0.45/M output
DeepSeek-V3.1-Terminus — $0.56/M input · $1.68/M output
DeepSeek-V3.1-Think — $0.56/M input · $1.68/M output
DeepSeek-V3-Fast — $0.56/M input · $2.24/M output
DeepSeek-OCR — $0.02/M input · $0.02/M output
deepseek-ocr — $0.02/M input · $0.02/M output
DeepSeek-V3 — $0.27/M input · $1.09/M output
DeepSeek-R1 — $0.4/M input · $2/M output
deepseek-ai/DeepSeek-Prover-V2-671B — $0.1/M input · $0.1/M output
deepseek-r1-distill-llama-70b — $0.8/M input · $1.6/M output
tngtech/DeepSeek-R1T-Chimera — $0.02/M input · $0.02/M output
deepseek-ai/DeepSeek-R1-Zero — $2.2/M input · $2.2/M output
deepseek-ai/Janus-Pro-7B — $2/M input · $2/M output
cc-deepseek-v3 — $0.3/M input · $0.3/M output
cc-deepseek-v3.1 — $0.56/M input · $1.68/M output
DeepSeek-v3 — $0.27/M input · $1.09/M output
alicloud-deepseek-v3.2 — $0.27/M input · $0.41/M output
azure-deepseek-v3.2 — $0.58/M input · $1.68/M output
azure-deepseek-v3.2-speciale — $0.58/M input · $1.68/M output
deepseek-ai/DeepSeek-Coder-V2-Instruct — $0.16/M input · $0.32/M output
deepseek-ai/DeepSeek-R1-Distill-Llama-70B — $0.6/M input · $0.6/M output
deepseek-ai/DeepSeek-R1-Distill-Llama-8B — $0.01/M input · $0.01/M output
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B — $0.01/M input · $0.01/M output
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B — $0.1/M input · $0.1/M output
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B — $0.2/M input · $0.2/M output
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B — $0.01/M input · $0.01/M output
deepseek-ai/DeepSeek-V2-Chat — $0.16/M input · $0.32/M output
deepseek-ai/DeepSeek-V2.5 — $0.16/M input · $0.32/M output
deepseek-ai/deepseek-llm-67b-chat — $0.16/M input · $0.16/M output
deepseek-ai/deepseek-vl2 — $0.16/M input · $0.16/M output
deepseek-v3 — $0.27/M input · $1.09/M output
deepseek-r1-distill-qianfan-llama-8b — $0.14/M input · $0.55/M output

Doubao

doubao-seedance-2-0-260128 — $2/M input
doubao-seedance-2-0-fast-260128 — $2/M input
doubao-seed-2-0-lite-260428 — $0.09/M input · $0.54/M output
doubao-seed-2-0-mini-260428 — $0.03/M input · $0.28/M output
doubao-seed-2-0-pro — $0.48/M input · $2.41/M output
doubao-seed-2-0-code-preview — $0.48/M input · $2.41/M output
doubao-seed-2-0-lite-260215 — $0.09/M input · $0.54/M output
doubao-seed-2-0-mini — $0.03/M input · $0.3/M output
doubao-seedance-1-5-pro-251215 — $2/M input
doubao-seedance-1-0-pro-250528 — $2/M input
doubao-seedance-1-0-pro-fast-251015 — $2/M input
doubao-seedream-5.0-lite — $2/M input
doubao-seed-1-8 — $0.11/M input · $0.27/M output
doubao-seedream-4-5 — $2/M input
doubao-seedream-4-0 — $2/M input
doubao-seed-1-6 — $0.18/M input · $1.8/M output
doubao-seed-1-6-flash — $0.04/M input · $0.44/M output
doubao-seed-1-6-lite — $0.08/M input · $0.66/M output
doubao-seed-1-6-thinking — $0.18/M input · $1.8/M output
ByteDance-Seed/Seed-OSS-36B-Instruct — $0.2/M input · $0.53/M output
doubao-seed-1-6-250615 — $0.18/M input · $2.52/M output
doubao-seed-1-6-flash-250615 — $0.04/M input · $0.44/M output
doubao-seed-1-6-thinking-250615 — $0.18/M input · $2.52/M output
doubao-seed-1-6-vision-250815 — $0.11/M input · $1.1/M output
Doubao-1.5-thinking-pro — $0.62/M input · $2.48/M output
doubao-embedding-large-text-240915 — $0.1/M input · $0.1/M output
doubao-embedding-text-240715 — $0.7/M input · $0.7/M output
cc-doubao-seed-code-preview-latest — $0.2/M input · $0.2/M output
doubao-seed-code-preview-latest — $0.2/M input · $0.2/M output
Doubao-1.5-lite-32k — $0.05/M input · $0.1/M output
Doubao-1.5-pro-256k — $0.8/M input · $1.44/M output
Doubao-1.5-pro-32k — $0.13/M input · $0.34/M output
Doubao-1.5-vision-pro-32k — $0.46/M input · $1.38/M output
doubao-1-5-thinking-vision-pro-250428 — $2/M input · $2/M output

Flux

flux-2-flex — $2/M input
flux-2-pro — $2/M input
flux-kontext-max — $2/M input
FLUX-1.1-pro — $2/M input · $2/M output
fx-flux-2-pro — $2/M input

Google

gemini-3.1-flash-lite-image — $0.25/M input · $1.5/M output
gemini-3.5-flash — $1.5/M input · $9/M output
gemini-3.1-flash-image — $0.5/M input · $3/M output
gemini-3-pro-image — $2/M input · $12/M output
gemini-3.1-flash-lite — $0.25/M input · $1.5/M output
gemini-3.1-flash-lite-nothink — $0.25/M input · $1.5/M output
gemma-4-26b-a4b-it — $0.14/M input · $0.4/M output
gemma-4-31b-it — $0.14/M input · $0.4/M output
gemini-3.1-flash-image-preview — $0.5/M input · $3/M output
gemini-3.1-flash-lite-preview — $0.25/M input · $1.5/M output
gemini-3.1-pro-preview — $2/M input · $12/M output
gemini-3.1-pro-preview-customtools — $2/M input · $12/M output
gemini-3.1-pro-preview-search — $2/M input · $12/M output
gemini-3-flash-preview — $0.5/M input · $3/M output
gemini-3-flash-preview-search — $0.5/M input · $3/M output
gemini-3.1-flash-image-preview-free
gemini-3-flash-preview-free
veo-3.1-lite-generate-preview — $2/M input
gemini-3-pro-image-preview — $2/M input · $12/M output
gemini-embedding-2-preview — $0.2/M input
deepinfra-gemma-4-26b-a4b-it — $0.09/M input · $0.38/M output
gemini-3.1-flash-lite-preview-nothink — $0.25/M input · $1.5/M output
gemini-2.5-flash-image — $0.3/M input · $2.5/M output
gemini-2.5-pro — $1.25/M input · $10/M output
gemini-2.5-pro-search — $1.25/M input · $10/M output
gemini-2.5-flash — $0.3/M input · $2.5/M output
gemini-2.5-flash-preview-09-2025 — $0.3/M input · $2.5/M output
gemini-2.5-flash-lite — $0.1/M input · $0.4/M output
gemini-2.5-flash-lite-nothink — $0.1/M input · $0.4/M output
gemini-2.5-flash-lite-preview-09-2025 — $0.1/M input · $0.4/M output
gemini-2.5-flash-lite-preview-09-2025-nothink — $0.1/M input · $0.4/M output
gemini-2.5-flash-nothink — $0.3/M input · $2.5/M output
gemini-2.5-flash-search — $0.3/M input · $2.5/M output
gemini-2.5-flash-preview-05-20-nothink — $0.3/M input · $2.5/M output
gemini-2.5-flash-preview-05-20-search — $0.3/M input · $2.5/M output
imagen-4.0 — $2/M input · $2/M output
imagen-4.0-fast-generate-001 — $2/M input · $2/M output
imagen-4.0-fast-generate-preview-06-06 — $2/M input · $2/M output
imagen-4.0-generate-001 — $2/M input · $2/M output
imagen-4.0-ultra-generate-001 — $2/M input · $2/M output
imagen-4.0-ultra — $2/M input · $2/M output
gemini-2.5-flash-image-preview — $0.3/M input · $1.2/M output
veo-3.0-generate-preview — $2/M input · $2/M output
veo-3.1-fast-generate-preview — $2/M input
veo-3.1-generate-preview — $2/M input · $2/M output
gemini-2.5-pro-preview-05-06 — $1.25/M input · $10/M output
gemini-2.5-pro-preview-03-25 — $1.25/M input · $10/M output
gemini-2.5-pro-preview-05-06-search — $1.25/M input · $10/M output
gemini-2.5-pro-preview-03-25-search — $1.25/M input · $10/M output
gemini-2.5-pro-preview-06-05-search — $1.25/M input · $10/M output
imagen-4.0-ultra-generate-exp-05-20 — $2/M input · $2/M output
gemini-embedding-001 — $0.15/M input · $0.15/M output
gemini-2.5-pro-preview-06-05 — $1.25/M input · $10/M output
gemini-2.5-flash-preview-tts — $0.5/M input · $0.5/M output
gemini-2.5-pro-preview-tts — $1/M input · $1/M output
gemma-3-12b-it — $0.2/M input · $0.2/M output
gemma-3-27b-it — $0.2/M input · $0.2/M output
gemma-3-4b-it — $0.2/M input · $0.2/M output
gemma-3n-e4b-it — $0.2/M input · $0.2/M output
gemma-3-1b-it — $0.2/M input · $0.2/M output
veo-2.0-generate-001 — $2/M input · $2/M output
unsloth/gemma-3-27b-it — $0.22/M input · $0.22/M output
gemini-exp-1206 — $1.25/M input · $5/M output
unsloth/gemma-3-12b-it — $0.2/M input · $0.8/M output
text-embedding-004 — $0.02/M input · $0.02/M output
imagen-3.0-generate-002 — $2/M input · $2/M output
gemini-2.5-pro-exp-03-25 — $1.25/M input · $5/M output
gemini-embedding-exp-03-07 — $0.02/M input · $0.02/M output
gemini-exp-1114 — $1.25/M input · $5/M output
gemini-exp-1121 — $1.25/M input · $5/M output
gemini-pro — $0.2/M input · $0.6/M output
gemini-pro-vision — $1/M input · $1/M output
gemma-7b-it — $0.1/M input · $0.1/M output
google-gemma-3-12b-it — $0.2/M input · $0.2/M output
google-gemma-3-27b-it — $0.2/M input · $0.2/M output
google-gemma-3-4b-it — $0.2/M input · $0.2/M output
google/gemini-exp-1114 — $1.25/M input · $5/M output
google/gemma-2-27b-it — $0.8/M input · $0.8/M output
google/gemma-2-9b-it:free — $0.02/M input · $0.02/M output
imagen-4.0-generate-preview-05-20 — $2/M input · $2/M output
learnlm-1.5-pro-experimental — $1.25/M input · $5/M output

Grok

grok-4.5 — $2/M input · $6/M output
grok-build-0.1 — $1/M input · $2/M output
grok-4.3 — $1.25/M input · $2.5/M output
grok-4-20-non-reasoning — $2/M input · $6/M output
grok-4-20-reasoning — $2/M input · $6/M output
grok-4.20-multi-agent-0309 — $2/M input · $6/M output
grok-4-1-fast-non-reasoning — $0.2/M input · $0.5/M output
grok-4-1-fast-reasoning — $0.2/M input · $0.5/M output
grok-code-fast-1 — $0.2/M input · $0.5/M output
grok-4 — $3.3/M input · $16.5/M output
grok-4-fast-non-reasoning — $0.2/M input · $0.5/M output
grok-4-fast-reasoning — $0.2/M input · $0.5/M output
grok-3 — $3/M input · $15/M output
grok-3-beta — $3/M input · $15/M output
grok-3-fast — $5.5/M input · $27.5/M output
grok-3-fast-beta — $5.5/M input · $27.5/M output
grok-3-mini — $0.3/M input · $0.5/M output
grok-3-mini-beta — $0.33/M input · $0.55/M output
grok-3-mini-fast-beta — $0.33/M input · $2.2/M output
grok-2-1212 — $1.8/M input · $9/M output
grok-4.20-beta-0309-non-reasoning — $2/M input · $6/M output
grok-4.20-beta-0309-reasoning — $2/M input · $6/M output
grok-4.20-multi-agent-beta-0309 — $2/M input · $6/M output
grok-2-vision-1212 — $1.8/M input · $9/M output
grok-vision-beta — $5.6/M input · $16.8/M output

Hunyuan

hy3 — $0.16/M input · $0.62/M output
hy-3d-3.1 — $2/M input · $2/M output
hy3-preview — $0.17/M input · $0.57/M output
tencent/Hunyuan-A13B-Instruct — $0.14/M input · $0.56/M output
tencent/Hunyuan-MT-7B — $0.2/M input · $0.2/M output

Ideogram

V3 — $2/M input · $2/M output
V_2 — $2/M input · $2/M output
V_2_TURBO — $2/M input · $2/M output
V_2A — $2/M input · $2/M output
V_2A_TURBO — $2/M input · $2/M output
V_1 — $2/M input · $2/M output
V_1_TURBO — $2/M input · $2/M output
DESCRIBE — $2/M input · $2/M output
UPSCALE — $2/M input · $2/M output

InclusionAI

inclusionAI/Ling-1T — $0.55/M input · $2.19/M output
inclusionAI/Ring-1T — $0.55/M input · $2.19/M output
inclusionAI/Ling-flash-2.0 — $0.14/M input · $0.54/M output
inclusionAI/Ling-mini-2.0 — $0.07/M input · $0.27/M output
inclusionAI/Ring-flash-2.0 — $0.14/M input · $0.54/M output

Jina AI

jina-embeddings-v5-text-nano — $0.05/M input
jina-embeddings-v5-text-small — $0.05/M input
jina-deepsearch-v1 — $0.05/M input · $0.05/M output
jina-embeddings-v4 — $0.05/M input · $0.05/M output
jina-reranker-v3 — $0.05/M input · $0.05/M output
jina-clip-v2 — $0.05/M input · $0.05/M output
jina-reranker-m0 — $0.05/M input · $0.05/M output
jina-colbert-v2 — $0.05/M input · $0.05/M output
jina-embeddings-v3 — $0.05/M input · $0.05/M output
jina-reader — $0.05/M input · $0.05/M output
jina-search — $0.05/M input · $0.05/M output
jina-embeddings-v2-base-code — $0.05/M input · $0.05/M output

KLing

kling-v3-omni — $2/M input
kling-video-o1 — $2/M input

Llama

llama-4-maverick — $0.2/M input · $0.2/M output
llama-4-scout — $0.2/M input · $0.2/M output
llama-3.3-70b — $0.6/M input · $0.6/M output
llama-3.1-70b — $0.44/M input · $0.44/M output
llama3.1-8b — $0.3/M input · $0.6/M output
cerebras-llama-3.3-70b — $0.6/M input · $0.6/M output
deepinfra-llama-3.1-8b-instant — $0.03/M input · $0.05/M output
deepinfra-llama-3.3-70b-instant-turbo — $0.11/M input · $0.35/M output
deepinfra-llama-4-maverick-17b-128e-instruct — $0.33/M input · $1.32/M output
deepinfra-llama-4-scout-17b-16e-instruct — $0.09/M input · $0.33/M output
groq-llama-3.1-8b-instant — $0.06/M input · $0.09/M output
groq-llama-3.3-70b-versatile — $0.65/M input · $0.87/M output
groq-llama-4-maverick-17b-128e-instruct — $0.22/M input · $0.66/M output
groq-llama-4-scout-17b-16e-instruct — $0.12/M input · $0.37/M output
llama-3.1-8b-instant — $0.3/M input · $0.6/M output
llama2-70b-4096 — $0.5/M input · $0.5/M output
llama2-70b-40960 — $0.5/M input · $0.5/M output
llama3-8b-8192 — $0.06/M input · $0.12/M output

Meituan

longcat-2.0 — $0.77/M input · $3.1/M output
LongCat-Flash-Chat — $0.14/M input · $0.7/M output

Microsoft

mai-image-2.5 — $5/M input · $5/M output
mai-image-2.5-flash — $1.75/M input · $1.75/M output
mai-image-2e — $5/M input · $19.5/M output
AiHubmix-Phi-4-mini-reasoning — $0.12/M input · $0.12/M output
aihub-Phi-4-multimodal-instruct — $0.12/M input · $0.48/M output
aihub-Phi-4-mini-instruct — $0.12/M input · $0.48/M output
aihub-Phi-4 — $0.12/M input · $0.48/M output
ahm-Phi-3-5-MoE-instruct — $0.4/M input · $1.6/M output
ahm-Phi-3-5-mini-instruct — $1/M input · $3/M output
ahm-Phi-3-5-vision-instruct — $0.4/M input · $1.6/M output
ahm-Phi-3-medium-128k — $6/M input · $18/M output
ahm-Phi-3-medium-4k — $1/M input · $3/M output
ahm-Phi-3-small-128k — $1/M input · $3/M output
mai-image-2 — $2/M input · $2/M output

Minimax

minimax-m3 — $0.29/M input · $1.15/M output
coding-minimax-m3-free
coding-minimax-m2.7-free
minimax-m2.7 — $0.3/M input · $1.18/M output
coding-minimax-m2.5-free
cc-minimax-m3 — $0.1/M input · $0.1/M output
coding-minimax-m3 — $0.2/M input · $0.2/M output
cc-minimax-m2.7 — $0.1/M input · $0.1/M output
cc-minimax-m2.7-highspeed — $0.1/M input · $0.1/M output
minimax-m2.5 — $0.29/M input · $1.15/M output
minimax-m2.5-highspeed — $0.29/M input · $1.15/M output
mm-minimax-m2.7-highspeed — $0.1/M input · $0.1/M output
coding-minimax-m2.7 — $0.2/M input · $0.2/M output
coding-minimax-m2.7-highspeed — $0.2/M input · $0.2/M output
cc-minimax-m2.5 — $0.1/M input · $0.1/M output
cc-minimax-m2.5-highspeed — $0.1/M input · $0.1/M output
coding-minimax-m2.5 — $0.2/M input · $0.2/M output
coding-minimax-m2.5-highspeed — $0.2/M input · $0.2/M output
cc-minimax-m2.1 — $0.1/M input · $0.1/M output
coding-minimax-m2.1 — $0.2/M input · $0.2/M output
coding-minimax-m2.1-free
minimax-m2.1 — $0.29/M input · $1.15/M output
coding-minimax-m2 — $0.2/M input · $0.2/M output
coding-minimax-m2-free
cc-minimax-m2 — $0.1/M input · $0.1/M output
minimax-m2 — $0.29/M input · $1.15/M output
MiniMaxAI/MiniMax-M1-80k — $0.6/M input · $2.4/M output
cc-MiniMax-M2 — $0.1/M input · $0.1/M output
MiniMax-Text-01 — $0.14/M input · $1.12/M output
alicloud-minimax-m2.5 — $0.29/M input · $1.15/M output
mm-minimax-m3 — $0.29/M input · $1.15/M output

Mistral

mistral-large-3 — $0.5/M input · $1.5/M output
AiHubmix-mistral-medium — $0.4/M input · $2/M output
chutesai/Mistral-Small-3.1-24B-Instruct-2503 — $0.2/M input · $0.8/M output
codestral-latest — $0.4/M input · $1.2/M output
aihubmix-Mistral-Large-2411 — $2/M input · $6/M output
aihubmix-Mistral-large-2407 — $3/M input · $9/M output
Mistral-large-2407 — $3/M input · $9/M output
aihubmix-Codestral-2501 — $0.4/M input · $1.2/M output
aihubmix-Mistral-large — $4/M input · $12/M output
mistralai/mistral-7b-instruct:free — $0.002/M input · $0.002/M output

Moonshot AI

kimi-k3 — $3/M input · $15/M output
coding-kimi-k3 — $0.24/M input · $0.88/M output
coding-kimi-k3-free
kimi-k2.7-code — $0.95/M input · $4/M output
kimi-k2.7-code-highspeed — $1.9/M input · $8/M output
kimi-k2.6 — $0.95/M input · $4/M output
cc-k2.6-code-preview — $0.2/M input · $0.2/M output
k2.6-code-preview-free
kimi-k2.5 — $0.6/M input · $3/M output
kimi-for-coding-free
kimi-k2-thinking — $0.55/M input · $2.19/M output
alicloud-kimi-k2-instruct — $0.55/M input · $2.19/M output
kimi-k2-0711 — $0.54/M input · $2.16/M output
kimi-k2-instruct — $0.54/M input · $2.16/M output
kimi-k2-turbo-preview — $1.2/M input · $4.8/M output
cc-kimi-for-coding — $0.2/M input · $0.2/M output
moonshotai/Kimi-Dev-72B — $0.32/M input · $1.28/M output
moonshotai/Moonlight-16B-A3B-Instruct — $0.2/M input · $0.2/M output
kimi-thinking-preview — $30/M input · $30/M output
cc-kimi-dev-72b — $0.32/M input · $1.28/M output
cc-kimi-k2-instruct — $1.1/M input · $3.3/M output
cc-kimi-k2-instruct-0905 — $1.1/M input · $3.3/M output
cc-kimi-k2-thinking — $0.55/M input · $2.19/M output
sf-kimi-k2-thinking — $0.55/M input · $2.19/M output
alicloud-kimi-k2-thinking — $0.55/M input · $2.19/M output
alicloud-kimi-k2.5 — $0.55/M input · $2.88/M output
azure-kimi-k2.5 — $0.6/M input · $3/M output
moonshot-kimi-k2.5 — $0.6/M input · $3/M output
moonshot-v1-128k — $10/M input · $10/M output
moonshot-v1-128k-vision-preview — $10/M input · $10/M output
moonshot-v1-32k — $4/M input · $4/M output
moonshot-v1-32k-vision-preview — $4/M input · $4/M output
moonshot-v1-8k — $2/M input · $2/M output
moonshot-v1-8k-vision-preview — $2/M input · $2/M output

Nvidia

nvidia-nemotron-3-super-120b-a12b — $0.11/M input · $0.55/M output
deepinfra-nvidia-nemotron-3-nano-30b-a3b2 — $0.07/M input · $0.26/M output
nvidia-llama-3.1-nemotron-70b-instruct — $1.32/M input · $1.32/M output
nvidia-llama-3.3-nemotron-super-49b-v1.5 — $0.11/M input · $0.44/M output
nvidia-nemotron-3-nano-30b-a3b — $0.07/M input · $0.26/M output
nvidia-nemotron-nano-12b-v2-vl — $0.22/M input · $0.66/M output
nvidia-nemotron-nano-9b-v2 — $0.04/M input · $0.18/M output
nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 — $0.5/M input · $0.5/M output

OpenAI

auto — $2/M input · $2/M output
gpt-5.6-luna — $1/M input · $6/M output
gpt-5.6-sol — $5/M input · $30/M output
gpt-5.6-terra — $2.5/M input · $15/M output
gpt-4o-transcribe-diarize — $2.5/M input · $10/M output
gpt-audio-1.5 — $2.5/M input · $10/M output
gpt-image-2 — $5/M input · $30/M output
gpt-5.5 — $5/M input · $30/M output
gpt-5.5-pro — $30/M input · $180/M output
gpt-chat-latest — $5/M input · $30/M output
gpt-5.4 — $2.5/M input · $15/M output
gpt-5.4-mini — $0.75/M input · $4.5/M output
gpt-5.4-nano — $0.2/M input · $1.25/M output
gpt-5.5-free
gpt-5.3-chat-latest — $1.75/M input · $14/M output
gpt-5.3-codex — $1.75/M input · $14/M output
gpt-image-2-free
gpt-5.4-high — $2.5/M input · $15/M output
gpt-5.4-low — $2.5/M input · $15/M output
gpt-5.4-pro — $30/M input · $180/M output
gpt-4.1-free
gpt-4.1-mini-free
gpt-4.1-nano-free
gpt-4o-free
gpt-5.2-codex — $1.75/M input · $14/M output
gpt-image-1.5 — $5/M input · $10/M output
gpt-5.2 — $1.75/M input · $14/M output
gpt-5.2-chat-latest — $1.75/M input · $14/M output
gpt-5.2-high — $1.75/M input · $14/M output
gpt-5.2-low — $1.75/M input · $14/M output
gpt-5.2-pro — $21/M input · $168/M output
gpt-5.1 — $1.25/M input · $10/M output
gpt-5.1-codex-max — $1.25/M input · $10/M output
gpt-5.1-chat-latest — $1.25/M input · $10/M output
gpt-5.1-codex — $1.25/M input · $10/M output
gpt-5.1-codex-mini — $0.25/M input · $2/M output
gpt-5 — $1.25/M input · $10/M output
gpt-5-codex — $1.25/M input · $10/M output
gpt-5-pro — $15/M input · $120/M output
gpt-5-mini — $0.25/M input · $2/M output
gpt-5-nano — $0.05/M input · $0.4/M output
gpt-5-chat-latest — $1.25/M input · $10/M output
o3-deep-research — $10/M input · $40/M output
sora-2 — $2/M input · $2/M output
sora-2-pro — $2/M input · $2/M output
gpt-4o-audio-preview — $2.5/M input · $10/M output
gpt-4o-mini-audio-preview — $0.15/M input · $0.6/M output
o3 — $2/M input · $8/M output
o3-pro — $20/M input · $80/M output
gpt-image-1 — $5/M input · $40/M output
gpt-image-1-mini — $5/M input · $40/M output
o4-mini — $1.1/M input · $4.4/M output
gpt-4.1 — $2/M input · $8/M output
aihubmix-router — $0.4/M input · $1.6/M output
gpt-4.1-mini — $0.4/M input · $1.6/M output
gpt-4.1-nano — $0.1/M input · $0.4/M output
codex-mini-latest — $1.5/M input · $6/M output
gpt-4o-search-preview — $2.5/M input · $10/M output
gpt-4o-mini-search-preview — $0.15/M input · $0.6/M output
o3-mini — $1.1/M input · $4.4/M output
gpt-oss-120b — $0.18/M input · $0.9/M output
o1 — $15/M input · $60/M output
o1-pro — $170/M input · $680/M output
gpt-4o-mini-tts — $0.6/M input · $12/M output
o1-preview — $15/M input · $60/M output
o1-mini — $3/M input · $12/M output
gpt-4o-2024-11-20 — $2.5/M input · $10/M output
gpt-4o — $2.5/M input · $10/M output
gpt-4o-mini — $0.15/M input · $0.6/M output
o1-global — $15/M input · $60/M output
gpt-4o-zh — $2.5/M input · $10/M output
gpt-4o-2024-08-06 — $2.5/M input · $10/M output
dall-e-3 — $40/M input · $40/M output
gpt-4-32k — $60/M input · $120/M output
o1-preview-2024-09-12 — $15/M input · $60/M output
computer-use-preview — $3/M input · $12/M output
gpt-image-test — $5/M input · $40/M output
o1-2024-12-17 — $15/M input · $60/M output
GPT-OSS-20B — $0.11/M input · $0.55/M output
dall-e-2 — $16/M input · $16/M output
davinci — $20/M input · $20/M output
davinci-002 — $2/M input · $2/M output
distil-whisper-large-v3-en — $5.56/M input · $5.56/M output
gpt-3.5-turbo — $0.5/M input · $1.5/M output
gpt-3.5-turbo-0301 — $1.5/M input · $1.5/M output
gpt-3.5-turbo-0613 — $1.5/M input · $2/M output
gpt-3.5-turbo-1106 — $1/M input · $2/M output
gpt-3.5-turbo-16k — $3/M input · $4/M output
gpt-3.5-turbo-16k-0613 — $3/M input · $4/M output
gpt-3.5-turbo-instruct — $1.5/M input · $2/M output
gpt-4 — $30/M input · $60/M output
gpt-4-0125-preview — $10/M input · $30/M output
gpt-4-0314 — $30/M input · $60/M output
gpt-4-0613 — $30/M input · $60/M output
gpt-4-1106-preview — $10/M input · $30/M output
gpt-4-32k-0314 — $60/M input · $120/M output
gpt-4-32k-0613 — $60/M input · $120/M output
gpt-4-turbo — $10/M input · $30/M output
gpt-4-turbo-2024-04-09 — $10/M input · $30/M output
gpt-4-turbo-preview — $10/M input · $30/M output
gpt-4-vision-preview — $10/M input · $30/M output
gpt-4o-2024-05-13 — $5/M input · $15/M output
gpt-4o-mini-2024-07-18 — $0.15/M input · $0.6/M output
gpt-oss-20b — $0.11/M input · $0.55/M output
o1-mini-2024-09-12 — $3/M input · $12/M output
omni-moderation-latest — $0.02/M input · $0.02/M output
text-ada-001 — $0.4/M input · $0.4/M output
text-babbage-001 — $0.5/M input · $0.5/M output
text-curie-001 — $2/M input · $2/M output
text-davinci-002 — $20/M input · $20/M output
text-davinci-003 — $20/M input · $20/M output
text-davinci-edit-001 — $20/M input · $20/M output
text-embedding-3-large — $0.13/M input · $0.13/M output
text-embedding-3-small — $0.02/M input · $0.02/M output
text-embedding-ada-002 — $0.1/M input · $0.1/M output
text-embedding-v1 — $0.1/M input · $0.1/M output
text-moderation-007 — $0.2/M input · $0.2/M output
text-moderation-latest — $0.2/M input · $0.2/M output
text-moderation-stable — $0.2/M input · $0.2/M output
text-search-ada-doc-001 — $20/M input · $20/M output
tts-1 — $15/M input · $15/M output
tts-1-1106 — $15/M input · $15/M output
tts-1-hd — $30/M input · $30/M output
tts-1-hd-1106 — $30/M input · $30/M output
whisper-1 — $100/M input · $100/M output
whisper-large-v3 — $30.83/M input · $30.83/M output
whisper-large-v3-turbo — $5.56/M input · $5.56/M output
gpt-4o-2024-08-06-global — $2.5/M input · $10/M output
gpt-4o-mini-global — $0.15/M input · $0.6/M output
o3-global — $2/M input · $8/M output
o3-mini-global — $1.1/M input · $4.4/M output
o3-pro-global — $20/M input · $80/M output

Perplexity

sonar — $1.6/M input · $1.6/M output
llama-3.1-sonar-huge-128k-online — $5.6/M input · $5.6/M output
llama-3.1-sonar-large-128k-online — $1.2/M input · $1.2/M output
llama-3.1-sonar-small-128k-online — $0.3/M input · $0.3/M output

Qwen

qwen3.8-max-preview — $0.17/M input · $0.51/M output
happyhorse-1.1-i2v — $2/M input
happyhorse-1.1-r2v — $2/M input
happyhorse-1.1-t2v — $2/M input
qwen3.7-plus — $0.28/M input · $1.13/M output
qwen3.7-max — $1.69/M input · $5.07/M output
happyhorse-1.0-i2v — $2/M input
happyhorse-1.0-r2v — $2/M input
happyhorse-1.0-t2v — $2/M input
happyhorse-1.0-video-edit — $2/M input
qwen3.6-max-preview — $1.27/M input · $7.61/M output
qwen3.6-27b — $0.42/M input · $2.53/M output
qwen3.6-35b-a3b — $0.25/M input · $1.52/M output
qwen3.6-flash — $0.17/M input · $1.01/M output
qwen-image-2.0 — $2/M input
qwen-image-2.0-pro — $2/M input
qwen3.6-plus — $0.28/M input · $1.69/M output
wan2.7-i2v — $2/M input
wan2.7-r2v — $2/M input
wan2.7-t2v — $2/M input
wan2.7-videoedit — $2/M input
wan2.7-image — $2/M input · $2/M output
wan2.7-image-pro — $2/M input · $2/M output
qwen3.5-plus — $0.11/M input · $0.66/M output
qwen3.5-122b-a10b — $0.11/M input · $0.9/M output
qwen3.5-27b — $0.08/M input · $0.68/M output
qwen3.5-35b-a3b — $0.06/M input · $0.45/M output
qwen3.5-397b-a17b — $0.16/M input · $0.99/M output
qwen3.5-flash — $0.03/M input · $0.28/M output
qwen3-coder-next — $0.14/M input · $0.55/M output
qwen3.6-plus-preview-free
qwen3-max-2026-01-23 — $0.45/M input · $1.8/M output
qwen3-vl-flash — $0.02/M input · $0.21/M output
qwen3-vl-flash-2026-01-22 — $0.02/M input · $0.21/M output
qwen3-vl-plus — $0.14/M input · $1.37/M output
wan2.6-i2v — $2/M input
wan2.6-t2v — $2/M input
wan2.2-i2v-plus — $2/M input
wan2.5-i2v-preview — $2/M input
wan2.5-t2v-preview — $2/M input
qwen3-vl-235b-a22b-instruct — $0.27/M input · $1.1/M output
qwen3-vl-235b-a22b-thinking — $0.27/M input · $2.74/M output
qwen3-vl-30b-a3b-instruct — $0.1/M input · $0.41/M output
qwen3-vl-30b-a3b-thinking — $0.1/M input · $1.03/M output
qwen3-max-preview — $0.85/M input · $3.38/M output
qwen3-max — $0.45/M input · $1.8/M output
qwen3-next-80b-a3b-instruct — $0.14/M input · $0.55/M output
qwen3-next-80b-a3b-thinking — $0.14/M input · $1.42/M output
qwen3-235b-a22b-instruct-2507 — $0.28/M input · $1.12/M output
qwen3-235b-a22b-thinking-2507 — $0.28/M input · $2.8/M output
qwen3-coder-30b-a3b-instruct — $0.2/M input · $0.8/M output
qwen3-coder-480b-a35b-instruct — $0.82/M input · $3.28/M output
qwen3-235b-a22b — $0.28/M input · $1.12/M output
qwen3-coder-flash — $0.14/M input · $0.54/M output
qwen3-coder-plus — $0.54/M input · $2.16/M output
qwen3-coder-plus-2025-07-22 — $0.54/M input · $2.16/M output
Qwen2.5-VL-72B-Instruct — $0.62/M input · $0.62/M output
bce-reranker-base — $0.07/M input
gme-qwen2-vl-2b-instruct — $0.14/M input · $0.14/M output
gte-rerank-v2 — $0.11/M input · $0.11/M output
qwen-image — $2/M input
qwen-image-edit — $2/M input
qwen-image-max — $2/M input
qwen-mt-plus — $0.49/M input · $1.48/M output
qwen-mt-turbo — $0.19/M input · $0.53/M output
qwen3-embedding-0.6b — $0.07/M input
qwen3-embedding-4b — $0.07/M input · $0.07/M output
qwen3-embedding-8b — $0.07/M input
qwen3-reranker-0.6b — $0.11/M input · $0.11/M output
qwen3-reranker-4b — $0.11/M input · $0.11/M output
qwen3-reranker-8b — $0.11/M input · $0.11/M output
qwen3-30b-a3b-instruct-2507 — $0.1/M input · $0.41/M output
qwen3-30b-a3b-thinking-2507 — $0.12/M input · $1.2/M output
Qwen2-VL-72B-Instruct — $2.18/M input · $6.54/M output
Qwen2-VL-7B-Instruct — $0.28/M input · $0.7/M output
qwen-3-235b-a22b-thinking-2507 — $0.28/M input · $2.8/M output
Qwen/Qwen3-30B-A3B — $1/M input · $1/M output
Qwen/Qwen3-32B — $0.4/M input · $0.8/M output
qwen3-32b — $0.16/M input · $0.64/M output
Qwen/Qwen3-14B — $0.5/M input · $0.5/M output
Qwen/Qwen3-8B — $0.2/M input · $0.2/M output
Qwen/Qwen2.5-VL-72B-Instruct — $0.5/M input · $0.5/M output
Qwen/QwQ-32B — $0.14/M input · $0.56/M output
Qwen/Qwen2.5-VL-32B-Instruct — $0.24/M input · $0.24/M output
kat-dev — $0.14/M input · $0.55/M output
qwen2.5-vl-72b-instruct — $2.4/M input · $7.2/M output
qwen-qwq-32b — $0.4/M input · $0.8/M output
qwen-max-0125 — $0.38/M input · $1.52/M output
qwen-plus-2025-07-28 — $0.11/M input · $1.13/M output
qwen-plus-latest — $0.11/M input · $1.13/M output
text-embedding-v4 — $0.08/M input · $0.08/M output
qwen-turbo-latest — $0.05/M input · $0.09/M output
qwen3-30b-a3b — $0.12/M input · $1.2/M output
qwen3-14b — $0.16/M input · $1.6/M output
qwen3-8b — $0.08/M input · $0.8/M output
qwen3-4b — $0.05/M input · $0.46/M output
qwen3-1.7b — $0.05/M input · $0.46/M output
qwen3-0.6b — $0.05/M input · $0.46/M output
qwen-3-32b — $0.4/M input · $1.6/M output
qwen-turbo-2025-04-28 — $0.05/M input · $0.09/M output
qwen-plus-2025-04-28 — $0.11/M input · $1.13/M output
qwen-3-235b-a22b-instruct-2507 — $0.28/M input · $1.4/M output
Qwen/QVQ-72B-Preview — $1.2/M input · $1.2/M output
Qwen/QwQ-32B-Preview — $0.16/M input · $0.16/M output
wan2.6-t2i — $2/M input
bai-qwen3-vl-235b-a22b-instruct — $0.27/M input · $1.1/M output
Qwen/Qwen2-1.5B-Instruct — $0.2/M input · $0.2/M output
Qwen/Qwen2-57B-A14B-Instruct — $0.24/M input · $0.24/M output
Qwen/Qwen2-72B-Instruct — $0.8/M input · $0.8/M output
Qwen/Qwen2-7B-Instruct — $0.08/M input · $0.08/M output
Qwen/Qwen2.5-32B-Instruct — $0.6/M input · $0.6/M output
Qwen/Qwen2.5-72B-Instruct — $0.8/M input · $0.8/M output
Qwen/Qwen2.5-72B-Instruct-128K — $0.8/M input · $0.8/M output
Qwen/Qwen2.5-7B-Instruct — $0.4/M input · $0.4/M output
Qwen/Qwen2.5-Coder-32B-Instruct — $0.16/M input · $0.16/M output
Qwen3-235B-A22B-Thinking-2507 — $0.28/M input · $2.8/M output
qwen-flash — $0.02/M input · $0.2/M output
qwen-flash-2025-07-28 — $0.02/M input · $0.2/M output
qwen-long — $0.1/M input · $0.4/M output
qwen-max — $0.38/M input · $1.52/M output
qwen-max-longcontext — $7/M input · $21/M output
qwen-plus — $0.11/M input · $1.13/M output
qwen-turbo — $0.05/M input · $0.09/M output
qwen-turbo-2024-11-01 — $0.05/M input · $0.09/M output
qwen2.5-14b-instruct — $0.4/M input · $1.2/M output
qwen2.5-32b-instruct — $0.6/M input · $1.2/M output
qwen2.5-3b-instruct — $0.4/M input · $0.8/M output
qwen2.5-72b-instruct — $0.8/M input · $2.4/M output
qwen2.5-7b-instruct — $0.4/M input · $0.8/M output
qwen2.5-coder-1.5b-instruct — $0.2/M input · $0.4/M output
qwen2.5-coder-7b-instruct — $0.2/M input · $0.4/M output
qwen2.5-math-1.5b-instruct — $0.2/M input · $0.2/M output
qwen2.5-math-72b-instruct — $0.8/M input · $2.4/M output
qwen2.5-math-7b-instruct — $0.2/M input · $0.4/M output

Stable diffusion

Stable-Diffusion-3-5-Large — $4/M input · $4/M output

StepFun

step-3.7-flash — $0.22/M input · $1.32/M output
step-3.5-flash — $0.11/M input · $0.33/M output
stepfun-ai/step3 — $1.1/M input · $2.75/M output

Xiaomi

xiaomi-mimo-v2.5 — $0.15/M input · $0.31/M output
xiaomi-mimo-v2.5-pro — $0.48/M input · $0.96/M output
coding-xiaomi-mimo-v2.5 — $0.08/M input · $0.16/M output
coding-xiaomi-mimo-v2.5-pro — $0.2/M input · $0.4/M output
coding-xiaomi-mimo-v2-omni — $0.08/M input · $0.4/M output
coding-xiaomi-mimo-v2-pro — $0.2/M input · $0.6/M output
xiaomi-mimo-v2-omni-free
xiaomi-mimo-v2-pro-free
xiaomi-mimo-v2.5-free
xiaomi-mimo-v2.5-pro-free
mimo-v2-omni — $0.44/M input · $2.2/M output
mimo-v2-pro — $1.1/M input · $3.3/M output
mimo-v2-flash — $0.19/M input · $0.58/M output
mimo-v2-flash-free

Z.AI

glm-5.2 — $1.13/M input · $3.94/M output
coding-glm-5.2-free
coding-glm-5.2 — $0.06/M input · $0.22/M output
glm-5.1 — $0.84/M input · $3.38/M output
glm-image — $2/M input · $2/M output
coding-glm-5.1 — $0.06/M input · $0.22/M output
coding-glm-5.1-free
glm-5 — $0.88/M input · $2.82/M output
glm-5v-turbo — $0.7/M input · $3.1/M output
coding-glm-5-free
coding-glm-5-turbo-free
glm-5-turbo — $1.2/M input · $4/M output
cc-glm-5.1 — $0.06/M input · $0.22/M output
coding-glm-5 — $0.06/M input · $0.22/M output
coding-glm-5-turbo — $0.06/M input · $0.22/M output
glm-4.7 — $0.27/M input · $1.1/M output
glm-4.7-flash-free
coding-glm-4.7-free
cc-glm-5 — $0.06/M input · $0.22/M output
cc-glm-5-turbo — $0.06/M input · $0.22/M output
cloudflare-glm-5.2 — $1.4/M input · $4.4/M output
zai-glm-5-turbo — $1.2/M input · $4/M output
cc-glm-4.7 — $0.06/M input · $0.22/M output
coding-glm-4.7 — $0.06/M input · $0.22/M output
cc-glm-4.6 — $0.06/M input · $0.22/M output
coding-glm-4.6 — $0.06/M input · $0.22/M output
coding-glm-4.6-free
glm-4.6 — $0.27/M input · $1.1/M output
glm-4.6v — $0.14/M input · $0.41/M output
glm-ocr — $0.03/M input · $0.03/M output
glm-4.5v — $0.27/M input · $0.82/M output
alicloud-glm-5 — $0.56/M input · $2.54/M output
alicloud-glm-4.7 — $0.41/M input · $1.92/M output
cbs-glm-4.7 — $2.25/M input · $2.75/M output

字节跳动

Doubao-lite-128k — $0.14/M input · $0.28/M output
Doubao-lite-32k — $0.06/M input · $0.12/M output
Doubao-lite-4k — $0.06/M input · $0.12/M output
Doubao-pro-128k — $0.8/M input · $1.44/M output
Doubao-pro-256k — $0.8/M input · $1.44/M output
Doubao-pro-32k — $0.14/M input · $0.35/M output
Doubao-pro-4k — $0.14/M input · $0.35/M output

字节跳动豆包

doubao-1-5-pro-256k-250115 — $0.68/M input · $1.23/M output
doubao-1-5-pro-32k-250115 — $0.11/M input · $0.27/M output

智谱 ChatGLM

embedding-2 — $0.07/M input · $0.07/M output
embedding-3 — $0.07/M input · $0.07/M output
chatglm_lite — $0.29/M input · $0.29/M output
chatglm_pro — $1.43/M input · $1.43/M output
chatglm_std — $0.71/M input · $0.71/M output
chatglm_turbo — $0.71/M input · $0.71/M output
code-davinci-edit-001 — $20/M input · $20/M output
cogview-3 — $35.5/M input · $35.5/M output
cogview-3-plus — $10/M input · $10/M output
glm-3-turbo — $0.71/M input · $0.71/M output
glm-4 — $14.2/M input · $14.2/M output
glm-4-flash — $0.1/M input · $0.1/M output
glm-4-plus — $8/M input · $8/M output
glm-4v — $14.2/M input · $14.2/M output
glm-4v-plus — $2/M input · $2/M output

阶跃星辰

step-2-16k — $2/M input · $2/M output

零一万物

yi-large — $3/M input · $3/M output
yi-large-rag — $4/M input · $4/M output
yi-large-turbo — $1.8/M input · $1.8/M output
yi-lightning — $0.2/M input · $0.2/M output
yi-medium — $0.4/M input · $0.4/M output
yi-vl-plus — $0.00085/M input · $0.00085/M output

AI Models & Pricing

AI21

Anthropic

BAAI

Baichuan

Baidu

ByteDance

ChatGLM

Cohere

DeepSeek

Doubao

Flux

Google

Grok

Hunyuan

Ideogram

InclusionAI

Jina AI

KLing

Llama

Meituan

Meta

Microsoft

Minimax

Mistral

Moonshot AI

Nvidia

OpenAI

Perplexity

Qwen

Stable diffusion

StepFun

Xiaomi

Z.AI

字节跳动

字节跳动豆包

智谱 ChatGLM

阶跃星辰

零一万物