OpenAI: GPT-5.1-Codex-Mini
Analysis Summary
GPT-5.1-Codex-Mini is OpenAI's smaller, cost-optimised coding variant, posting an intelligence index of 38.6 and a coding index of 36.4. Livecodebench at 0.836 and GPQA at 0.813 confirm capable performance for a mini-tier model. Vision, tool use, function calling, and a 400K context window are all present, giving it a broad capability profile relative to its price.
For businesses, this model is well-suited to coding assistance, automated code review, and structured content generation where cost efficiency matters. The agentic index of 48.1 is moderate, making it less reliable for complex multi-step autonomous tasks compared to the full GPT-5.1 or Codex variants. Instruction following (ifbench 0.679) is adequate for most business content workflows.
At $0.25 input and $2.00 output, it offers strong value for technical teams running high-volume coding or content tasks. Teams that need GPT-5.1-class reasoning at a fraction of the cost will find Codex-Mini a practical choice for non-critical or high-throughput workloads.
Assessed June 6, 2026
Editorial notes
GPT-5.1-Codex-Mini from OpenAI offers strong coding and reasoning at a significantly lower price point, with vision, tool use, and a 400K context window for cost-conscious technical teams.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-5.1-Codex-Mini compares
OpenAI: GPT-5.1-Codex-Mini ranks #66 of 377 AI models we track for overall intelligence, #60 of 314 for coding, #95 of 289 for agentic tasks. Its 400K-token context window is larger than 85% of the models we list. At $0.25 per million input tokens it is cheaper than 48% of comparable models.
About OpenAI: GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-5.1-Codex-Mini stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
openai/gpt-5.1-codex-mini
|
| Provider | openai |
| Release Date | November 13, 2025 |
| Context Length | 400,000 tokens |
| Max Completion | 100,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000250 |
| Output | $2.00 | $0.002000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about OpenAI: GPT-5.1-Codex-Mini
How much does OpenAI: GPT-5.1-Codex-Mini cost?
OpenAI: GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 per million output tokens.
What is the context window of OpenAI: GPT-5.1-Codex-Mini?
OpenAI: GPT-5.1-Codex-Mini has a context window of 400,000 tokens (400K).
Is OpenAI: GPT-5.1-Codex-Mini good for coding?
On our coding benchmark index, OpenAI: GPT-5.1-Codex-Mini ranks #60 of 314 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.1-Codex-Mini do?
OpenAI: GPT-5.1-Codex-Mini supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.1-Codex-Mini?
OpenAI: GPT-5.1-Codex-Mini is developed by OpenAI and was released on November 13, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 9, 2026 9:57 pm