 Gemma 3 4B |  Pixtral 12B | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Mistral |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 32.8K 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 | March 13, 2025 5 months ago March 13th, 2025 | September 10, 2024 12 months ago September 10th, 2024 |
Gemma 3 4B | Pixtral 12B | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemini | Mistral |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Gemma 3 4B | Pixtral 12B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million outut tokens | $0.08 per million tokens | $0.10 per million tokens |
| Gemma 3 4B | Pixtral 12B | |
|---|---|---|
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 3 4B by Google understands both text and images, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.04/M input and $0.08/M output tokens. Released March 13th, 2025.Pixtral 12B by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.10/M input and $0.10/M output tokens. Released September 10th, 2024.Compare your models with top performers across different categories
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