GPT-5.1-Codex vs Mistral Large 3 2512 (Comparative Analysis)
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Comparative Analysis: GPT-5.1-Codex vs. Mistral Large 3 2512
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Overview
GPT-5.1-Codex was released 18 days before Mistral Large 3 2512.
 GPT-5.1-Codex |  Mistral Large 3 2512 | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 400K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | Not specified tokens |
Release Date When this model first became publicly available | November 13, 2025 8 months ago November 13th, 2025 | December 1, 2025 8 months ago December 1st, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.1-Codex | Mistral Large 3 2512 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Pricing
GPT-5.1-Codex is roughly 2.5x more expensive compared to Mistral Large 3 2512 for input tokens and roughly 6.7x more expensive for output tokens.
| GPT-5.1-Codex | Mistral Large 3 2512 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $1.25 per million tokens | $0.50 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $1.50 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | $0.05 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-5.1-Codex and Mistral Large 3 2512.
| GPT-5.1-Codex | Mistral Large 3 2512 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 15.9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 20.1 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 5.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,205 Elo (#45 in Data Viz (51.4% win rate)) | 1,184 Elo (#64 in Website (49.5% win rate)) |
At a Glance
Quick overview of what makes GPT-5.1-Codex and Mistral Large 3 2512 unique.
GPT-5.1-Codex by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 400K token context window. Reasonably priced at $1.25/M input and $10.00/M output tokens. Released November 13th, 2025.Mistral Large 3 2512 by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.50/M input and $1.50/M output tokens. Released December 1st, 2025.Explore More Comparisons
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🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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