GPT-5.1-Codex-Max vs Mistral Small 3.2 24B (Comparative Analysis)
Loading comparison form...
Comparative Analysis: GPT-5.1-Codex-Max vs. Mistral Small 3.2 24B
Want to try out these models side by side?Try Magica for free
Overview
Mistral Small 3.2 24B was released 5 months before GPT-5.1-Codex-Max.
 GPT-5.1-Codex-Max |  Mistral Small 3.2 24B | |
|---|---|---|
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 | 256K 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 | December 4, 2025 7 months ago December 4th, 2025 | June 20, 2025 1 year ago June 20th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.1-Codex-Max | Mistral Small 3.2 24B | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 🖼️Image📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: Extra High, 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 |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5.1-Codex-Max is roughly 12.5x more expensive compared to Mistral Small 3.2 24B for input tokens and roughly 33.3x more expensive for output tokens.
| GPT-5.1-Codex-Max | Mistral Small 3.2 24B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $1.25 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $0.30 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 | $0.01 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-5.1-Codex-Max and Mistral Small 3.2 24B.
| GPT-5.1-Codex-Max | Mistral Small 3.2 24B | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 958 Elo (#101 in Data Viz (43.3% win rate)) |
At a Glance
Quick overview of what makes GPT-5.1-Codex-Max and Mistral Small 3.2 24B unique.
GPT-5.1-Codex-Max 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 December 4th, 2025.Mistral Small 3.2 24B by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 256K token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released June 20th, 2025.Explore More Comparisons
Compare your models with top performers across different categories
Compare GPT-5.1-Codex-Max with:
🚀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
🌐Translation
Multilingual translation tasks
Compare Mistral Small 3.2 24B with:
🚀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
🌐Translation
Multilingual translation tasks