MiniMax M2 vs Qwen3 235B A22B Thinking 2507 (Comparative Analysis)
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Comparative Analysis: MiniMax M2 vs. Qwen3 235B A22B Thinking 2507
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Overview
Qwen3 235B A22B Thinking 2507 was released 3 months before MiniMax M2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 204.8K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | Not specified tokens |
Release Date When this model first became publicly available | October 23, 2025 9 months ago October 23rd, 2025 | July 25, 2025 1 year ago July 25th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
MiniMax M2 | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Always enabled | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
MiniMax M2 is roughly 1.1x more expensive compared to Qwen3 235B A22B Thinking 2507 for input tokens and roughly 0.4x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.26 per million tokens | $0.23 per million tokens |
Output Token Cost Cost per million output tokens | $1.02 per million tokens | $2.30 per million tokens |
Benchmarks
Compare relevant benchmarks between MiniMax M2 and Qwen3 235B A22B Thinking 2507.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 19.9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 22.1 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 3.8 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,169 Elo (#64 in UI Component (49.2% win rate)) | 1,075 Elo (#95 in Website (42.0% win rate)) |
At a Glance
Quick overview of what makes MiniMax M2 and Qwen3 235B A22B Thinking 2507 unique.
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Compare Qwen3 235B A22B Thinking 2507 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks