Gemma 3 27B vs MiniMax M2 (Comparative Analysis)
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Comparative Analysis: Gemma 3 27B vs. MiniMax M2
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Overview
Gemma 3 27B was released 7 months before MiniMax M2.
 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 | Not specified tokens | 131.1K tokens |
Release Date When this model first became publicly available | March 12, 2025 1 year ago March 12th, 2025 | October 23, 2025 9 months ago October 23rd, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 3 27B | MiniMax M2 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
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 | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Gemma 3 27B is roughly 0.3x less expensive compared to MiniMax M2 for input tokens and roughly 0.3x less expensive for output tokens.
| Gemma 3 27B | MiniMax M2 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.10 per million tokens | $0.30 per million tokens |
Output Token Cost Cost per million output tokens | $0.30 per million tokens | $1.20 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.03 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 3 27B and MiniMax M2.
| Gemma 3 27B | MiniMax M2 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 7.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 10.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 0.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,177 Elo (#57 in UI Component (49.2% win rate)) |
At a Glance
Quick overview of what makes Gemma 3 27B and MiniMax M2 unique.
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 $0.10/M input and $0.30/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 $0.30/M input and $1.20/M output tokens. Released October 23rd, 2025.Explore More Comparisons
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