GPT-5.1-Codex-Mini
OpenAI • codigo
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Specifications
Context Window
400K tokens
Input Price/1M
$0.25
Output Price/1M
$2.00
Parameters
—
Speed
209 tok/s
Latency (TTFT)
5.3s
Max Output
128K tokens
Benchmarks
GPT-5.1-Codex-Mini results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 33.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 84.0 | 100.0 | Artificial Analysis official API |
| LiveBench Coding | 69.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| SciCode | 43.0 | 100.0 | — |
| AA Coding Index | 36.4 | 100.0 | Artificial Analysis official API |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 49.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 82.0 | 100.0 | — |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 63.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 63.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AIME 2025 | 92.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 91.7 | 100.0 | Artificial Analysis official API |
| LiveBench Math | 76.3 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 60.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 30.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 82.0 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 81.0 | 100.0 | Artificial Analysis official API |
| IFBench | 68.0 | 100.0 | — |
| LiveBench Reasoning | 64.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| HLE | 17.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 63.0 | 100.0 | — |
Information
- Release date
- November 13, 2025
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: GPT-5.1-Codex-Mini
What is GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini is an AI model developed by OpenAI, classified as a codigo model. It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via OpenAI's cloud API. With a context window of 400K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
GPT-5.1-Codex-Mini is usage-based, priced at $0.25/1M input tokens and $2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
GPT-5.1-Codex-Mini was evaluated on 20 different benchmarks, covering categories like Agentic, Coding, Data Analysis, Knowledge, Language, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
GPT-5.1-Codex-Mini specializes in codigo, offering advanced capabilities for creating and processing codigo content.
Comparison with Alternatives
In the 2026 AI model ecosystem, GPT-5.1-Codex-Mini competes directly with similarly capable models. Key competitors include Claude (Anthropic), Gemini (Google), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
How much does GPT-5.1-Codex-Mini cost?
GPT-5.1-Codex-Mini costs $0.25/1M input tokens and $2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does GPT-5.1-Codex-Mini compare with other models?
In available benchmarks, GPT-5.1-Codex-Mini scored: Terminal-Bench Hard: 33/100, LiveCodeBench: 84/100, LiveBench Coding: 69.93/100. See the full table above for a detailed comparison.
Is GPT-5.1-Codex-Mini open source?
No, GPT-5.1-Codex-Mini is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is GPT-5.1-Codex-Mini best for?
GPT-5.1-Codex-Mini excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: July 17, 2026 • View methodology →