Gemma 4 26B A4B vs Mistral Small 3.1 24B (Comparative Analysis)
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Comparative Analysis: Gemma 4 26B A4B vs. Mistral Small 3.1 24B
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Overview
Mistral Small 3.1 24B was released 1 year before Gemma 4 26B A4B.
 Gemma 4 26B A4B |  Mistral Small 3.1 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 | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 262.1K tokens | 128K tokens |
Release Date When this model first became publicly available | April 3, 2026 3 months ago April 3rd, 2026 | March 17, 2025 1 year ago March 17th, 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 26B A4B | Mistral Small 3.1 24B | |
|---|---|---|
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 CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Gemma 4 26B A4B is roughly 0.3x less expensive compared to Mistral Small 3.1 24B for input tokens and roughly 0.6x less expensive for output tokens.
| Gemma 4 26B A4B | Mistral Small 3.1 24B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.12 per million tokens | $0.35 per million tokens |
Output Token Cost Cost per million output tokens | $0.35 per million tokens | $0.55 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.05 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Gemma 4 26B A4B and Mistral Small 3.1 24B.
| Gemma 4 26B A4B | Mistral Small 3.1 24B | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 25.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 39.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 11 (Artificial Analysis index; higher is better) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemma 4 26B A4B and Mistral Small 3.1 24B unique.
Gemma 4 26B A4B 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 $0.12/M input and $0.35/M output tokens. Released April 3rd, 2026.Mistral Small 3.1 24B by Mistral understands both text and images. It can handle standard conversations with its 128K token context window. Very affordable at $0.35/M input and $0.55/M output tokens. Released March 17th, 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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Technical analysis and explanations
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