 Gemma 3 12B |  Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Qwen |
Input Context Window Maximum input tokens this model can process at once | 96K tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 8.2K tokens | Not specified tokens |
Release Date When this model first became publicly available | March 13, 2025 5 months ago March 13th, 2025 | November 11, 2024 9 months ago November 11th, 2024 |
Gemma 3 12B | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemini | Qwen |
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 12B | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million outut tokens | $0.19 per million tokens | $0.20 per million tokens |
| Gemma 3 12B | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
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 12B by Google understands both text and images, generates structured data. It can handle standard conversations with its 96K token context window. Very affordable at $0.05/M input and $0.19/M output tokens. Released March 13th, 2025.Qwen2.5 Coder 32B Instruct by Qwen generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.05/M input and $0.20/M output tokens. Released November 11th, 2024.Compare your models with top performers across different categories
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