 Gemma 4 26B A4B |  Mistral Nemo | |
|---|---|---|
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 | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | Not specified tokens |
Release Date When this model first became publicly available | April 3, 2026 1 month ago April 3rd, 2026 | July 19, 2024 1 year ago July 19th, 2024 |
Gemma 4 26B A4B | Mistral Nemo | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text |
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 → |
| Gemma 4 26B A4B | Mistral Nemo | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.06 per million tokens | $0.02 per million tokens |
Output Token Cost Cost per million outut tokens | $0.33 per million tokens | $0.03 per million tokens |
| Gemma 4 26B A4B | Mistral Nemo | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
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 $0.06/M input and $0.33/M output tokens. Released April 3rd, 2026.Mistral Nemo by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.02/M input and $0.03/M output tokens. Released July 19th, 2024.Compare your models with top performers across different categories
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