GPT-5.1-Codex-Mini
gpt-5.1-codex-miniGPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex Built by OpenAI.
Prices updated
Input price
$0.25
per 1M tokens · Standard
Output price
$2.00
per 1M tokens · Standard
Input limit
400K
tokens
Output limit
128K
tokens
Input formats
Output formats
GPT-5.1-Codex-Mini price history
2 price records since 9/25/2026
GPT-5.1-Codex-Mini cost calculator
$15/month
Standard pricing
Overview
What is GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini is a text & reasoning and vision and code & slms model from OpenAI. GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex Its 400K context window and $0.25 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
GPT-5.1-Codex-Mini benchmarks & speed
How GPT-5.1-Codex-Mini scores on standardized evaluations, and where it lands among every model we track.
20.4
Intelligence Index
1098
DesignArena Elo
Reasoning
GPQA Diamond
81.3%
Graduate-level scientific reasoning · top 52%
HLE
18.5%
Humanity's Last Exam · top 54%
Latency & design
- DesignArena win rate
- 41.5%
- Design battles judged
- 33,837
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-5.1-Codex-Mini pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.25
Per 1M tokens
Cached input · Standard
$0.03
Per 1M tokens
Capabilities
GPT-5.1-Codex-Mini Tools
Tools available when using GPT-5.1-Codex-Mini through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.25 per million tokens suits high-volume workloads.
- 400K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision and code & slms workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider