Gemma 4 31B vs Mistral Large 2407
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 31B and Mistral Large 2407.
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Mistral Large 2407
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Technical Specifications
| Specification | Gemma 4 31B | Mistral Large 2407 |
|---|---|---|
| Provider | Mistral | |
| Context Window | 262,144 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-02 | 2024-11-19 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
Mistral Large 2407
$2.00
Output Price per Million Tokens
Gemma 4 31B
$0.35
Mistral Large 2407
$6.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemma 4 31B Quirks & Gotchas
No developer gotchas reported.
Mistral Large 2407 Quirks & Gotchas
No developer gotchas reported.