Text Embedding V1Pricing
- Input Tokens: $0.100 /M tokens
- Output Tokens: $0.100 /M tokens
Input Modalities
- Text
Providers
Performance for text-embedding-v1
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Frequently asked questions
More models from OpenAI
See all OpenAI models →- Input: $ 4 /M
- Output: $ 20 /M
- Web Search: $0.01/request
GPT-5.6 Sol (limited-time 50% off) is OpenAI’s frontier reasoning model for complex coding, professional knowledge work, deep research, and long-running agents. It supports a roughly 1.05M-token context window, image understanding, and extensive tool use. Compared with Terra and Luna, Sol prioritizes capability and reliability on demanding tasks.
- Input: $ 0.2 /M
- Output: $ 1.2 /M
- Web Search: $0.01/request
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
- Input: $ 4 /M
- Output: $ 20 /M
- Web Search: $0.01/request
GPT‑5.6 Sol sets a new standard for both intelligence and efficiency, achieving state-of-the-art results across coding, knowledge work, cybersecurity, and science while outperforming previous and competing frontier models with fewer tokens and at lower estimated cost.
- Input: $ 2 /M
- Output: $ 12 /M
- Web Search: $0.01/request
GPT-5.6 Terra is designed for workloads that balance intelligence and cost. It roughly corresponds to the mini model tier used in earlier GPT-5 families.
Developed by OpenAI, gpt-oss-20b-free is an open-weight 21B parameter model released under the Apache 2.0 license. This model utilizes a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass. It supports an expansive context window of up to 131,072 tokens, making it well-suited for long-context tasks.
- Input: $ 2.5 /M
- Output: $ 10 /M
- Input Audio: $2.4/M tokens
GPT-4o Transcribe Diarize is an automatic speech recognition (ASR) model with built-in speaker diarization, meaning it can associate audio segments in a conversation with different speakers.
AIHubMix