Gemma 4 31B vs Ministral 3 8B 2512 (Comparative Analysis)
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Comparative Analysis: Gemma 4 31B vs. Ministral 3 8B 2512
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Overview
Ministral 3 8B 2512 was released 4 months before Gemma 4 31B.
 Gemma 4 31B |  Ministral 3 8B 2512 | |
|---|---|---|
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 | 262.1K 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 | December 2, 2025 7 months ago December 2nd, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 4 31B | Ministral 3 8B 2512 | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text🖼️Image |
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 0.9x less expensive compared to Ministral 3 8B 2512 for input tokens and roughly 2.7x more expensive for output tokens.
| Gemma 4 31B | Ministral 3 8B 2512 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.15 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.15 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 Ministral 3 8B 2512.
| Gemma 4 31B | Ministral 3 8B 2512 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 29.4 (Artificial Analysis index; higher is better) | 9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 43.4 (Artificial Analysis index; higher is better) | 9.7 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 14.4 (Artificial Analysis index; higher is better) | 1.2 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,090 Elo (#90 in Website (42.9% win rate)) |
At a Glance
Quick overview of what makes Gemma 4 31B and Ministral 3 8B 2512 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.Ministral 3 8B 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. Very affordable at $0.15/M input and $0.15/M output tokens. Released December 2nd, 2025.Explore More Comparisons
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Models optimized for creative writing
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Technical analysis and explanations
🔬Science
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