Models

DeepSeek V4 Flash vs GPT 5.3 Chat

Compare DeepSeek V4 Flash from DeepSeek and GPT 5.3 Chat from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

DeepSeekDeepSeek V4 FlashOpenAIGPT 5.3 Chat
DeepSeek logo
DeepSeek V4 Flash
DeepSeek · text → text

(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.

Input$0.142 /M
Output$0.284 /M
Cache read$0.0284 /M
OpenAI logo
GPT 5.3 Chat
OpenAI · text, image → text

GPT-5.3Chat refers to the GPT-5.3 snapshot currently used in ChatGPT and is optimized for conversational use cases. While GPT-5.2 is recommended for most API applications, GPT-5.3Chat is ideal for testing the latest improvements in chat-based interactions.

Input$1.75 /M
Output$14 /M
Cache read$0.175 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

DeepSeek V4 Flash
GPT 5.3 Chat
Input /M
$0.142
$1.75
Output /M
$0.284
$14
Cache read /M
$0.0284
$0.175
Context length
1,000,000
128,000
Max output
384,000
16,384
Time to First Token
1.0 s
0.8 s
Throughput
66.4 tok/s
99.7 tok/s
Modalities
text
textimage
Supported Parameters
toolsfunction callingstructured outputsthinking
function callingstructured outputs
API Formats
chat_completions · claude_api
Released
April 24, 2026
March 3, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

deepseek-v4-flashgpt-5.3-chat-latest

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

deepseek-v4-flashgpt-5.3-chat-latest

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
deepseek-v4-flashgpt-5.3-chat-latest
1380142014601500
Overall
14361449
Coding
14831497
Math
14261426
Hard prompts
14591472
Instruction following
14281434
Multi-turn
14521467
Creative writing
14061408
Longer query
14481456
Chinese
14731490
English
14451451

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

DeepSeek V4 Flash
$12.78 /mo
GPT 5.3 Chat
$315 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: DeepSeek V4 Flash, GPT 5.3 Chat?

DeepSeek V4 Flash: $0.284/M output tokens; GPT 5.3 Chat: $14/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GPT 5.3 Chat: 1497; DeepSeek V4 Flash: 1483 (LMArena coding leaderboard).

Which responds faster?

GPT 5.3 Chat: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

DeepSeek V4 Flash accepts 1,000,000 and GPT 5.3 Chat accepts 128,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 16,384 tokens on GPT 5.3 Chat.

Which one generates tokens faster?

GPT 5.3 Chat at 99.7 tok/s and DeepSeek V4 Flash at 66.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; GPT 5.3 Chat accepts text and image input and supports function calling and structured outputs.

Can I call DeepSeek V4 Flash and GPT 5.3 Chat with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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