Gemma 4 31B vs Mistral Small 3.2 24B (Comparative Analysis)
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Comparative Analysis: Gemma 4 31B vs. Mistral Small 3.2 24B
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Overview
Mistral Small 3.2 24B was released 9 months before Gemma 4 31B.
 Gemma 4 31B |  Mistral Small 3.2 24B | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Mistral |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 256K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 262.1K tokens | Not specified tokens |
Release Date When this model first became publicly available | April 2, 2026 3 months ago April 2nd, 2026 | 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
Gemma 4 31B | Mistral Small 3.2 24B | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 🖼️Image📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemma | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Gemma 4 31B is roughly 1.4x more expensive compared to Mistral Small 3.2 24B for input tokens and roughly 1.3x more expensive for output tokens.
| Gemma 4 31B | Mistral Small 3.2 24B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.30 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.01 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 4 31B and Mistral Small 3.2 24B.
| Gemma 4 31B | Mistral Small 3.2 24B | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 29.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 43.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 14.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 960 Elo (#101 in Data Viz (43.3% win rate)) |
At a Glance
Quick overview of what makes Gemma 4 31B and Mistral Small 3.2 24B unique.
Gemma 4 31B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.14/M input and $0.40/M output tokens. Released April 2nd, 2026.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
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Best models for coding and development
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Models optimized for creative writing
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Content creation and marketing tasks
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Technical analysis and explanations
🔬Science
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