Gemma 4 31B vs Mistral Large (Comparative Analysis)
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Comparative Analysis: Gemma 4 31B vs. Mistral Large
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Overview
Mistral Large was released 2 years before Gemma 4 31B.
 Gemma 4 31B |  Mistral Large | |
|---|---|---|
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 | 128K 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 | February 26, 2024 2 years ago February 26th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | November 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 4 31B | Mistral Large | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text📁File |
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 → | Proprietary |
Pricing
Gemma 4 31B is roughly 0.07x less expensive compared to Mistral Large for input tokens and roughly 0.07x less expensive for output tokens.
| Gemma 4 31B | Mistral Large | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $6.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 4 31B and Mistral Large.
| Gemma 4 31B | Mistral Large | |
|---|---|---|
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. |
At a Glance
Quick overview of what makes Gemma 4 31B and Mistral Large 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 Large by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released February 26th, 2024.Explore More Comparisons
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