Codestral 2508 vs Mistral Small 3.2 24B (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. Mistral Small 3.2 24B
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Overview
Mistral Small 3.2 24B was released 1 month before Codestral 2508.
 Codestral 2508 | Mistral Small 3.2 24B | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | Mistral |
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 16.4K tokens |
Release Date When this model first became publicly available | August 1, 2025 11 months ago August 1st, 2025 | June 20, 2025 1 year ago June 20th, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Codestral 2508 | Mistral Small 3.2 24B | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 🖼️Image📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Codestral 2508 is roughly 4.3x more expensive compared to Mistral Small 3.2 24B for input tokens and roughly 4.5x more expensive for output tokens.
| Codestral 2508 | Mistral Small 3.2 24B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.07 per million tokens |
Output Token Cost Cost per million outut tokens | $0.90 per million tokens | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between Codestral 2508 and Mistral Small 3.2 24B.
| Codestral 2508 | Mistral Small 3.2 24B | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
At a Glance
Quick overview of what makes Codestral 2508 and Mistral Small 3.2 24B unique.
Codestral 2508 by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 256K token context window. Very affordable at $0.30/M input and $0.90/M output tokens. Released August 1st, 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 128K token context window. Very affordable at $0.07/M input and $0.20/M output tokens. Released June 20th, 2025.Explore More Comparisons
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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
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