 Gemma 3 27B |  MiniMax M2 | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | MiniMax |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 204.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 131.1K tokens |
Release Date When this model first became publicly available | March 12, 2025 9 months ago March 12th, 2025 | October 23, 2025 1 month ago October 23rd, 2025 |
Gemma 3 27B | MiniMax M2 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemini | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
| Gemma 3 27B | MiniMax M2 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.08 per million tokens | $0.26 per million tokens |
Output Token Cost Cost per million outut tokens | $0.45 per million tokens | $1.02 per million tokens |
| Gemma 3 27B | MiniMax M2 | |
|---|---|---|
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 27B by Google understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.08/M input and $0.45/M output tokens. Released March 12th, 2025.MiniMax M2 by MiniMax can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 204.8K token context window. Very affordable at $0.26/M input and $1.02/M output tokens. Released October 23rd, 2025.Compare your models with top performers across different categories
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