OpenAI: GPT-5.1-Codex-Mini
Analysis Summary
GPT-5.1-Codex-Mini is OpenAI's cost-optimised coding model with an intelligence index of 30.6 and strong technical benchmarks: LiveCodeBench at 0.836, SciCode at 0.426, and TerminalBench Hard at 0.333 are competitive with models costing significantly more. Its agentic index of 48.1 and TAU2 of 0.629 support multi-step task execution, and vision, tool use, and function calling are all included across a 400K context window.
For businesses, Codex-Mini suits code generation, automated testing, agentic coding pipelines, and technical content tasks where cost efficiency matters. GPQA at 0.813 and MMLU Pro at 0.820 confirm strong general reasoning, and long-context reliability (LCR 0.627) supports codebase-scale analysis. The vision capability adds flexibility for mixed-modality technical workflows.
At $0.25 input and $2.00 output per million tokens, it is one of the better-value coding models available with verified benchmark data. Teams wanting GPT-5.1-Codex capability at a fraction of the cost will find Codex-Mini a compelling default for most technical workloads.
Assessed June 30, 2026
Editorial notes
GPT-5.1-Codex-Mini from OpenAI combines strong coding and agentic benchmarks with vision, tool use, and a 400K context window at $0.25 input, offering excellent value for technical business workflows.
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 #75 of 385 AI models we track for overall intelligence, #101 of 293 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.
External Resources
Explore Related Models
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).
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 30, 2026 9:37 pm