MiniMax M1 vs Qwen3 235B A22B Instruct 2507 (Comparative Analysis)
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Comparative Analysis: MiniMax M1 vs. Qwen3 235B A22B Instruct 2507
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Overview
MiniMax M1 was released 1 month before Qwen3 235B A22B Instruct 2507.
 MiniMax M1 |  Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | MiniMax | Qwen |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 40K tokens | 16.4K tokens |
Release Date When this model first became publicly available | June 17, 2025 1 year ago June 17th, 2025 | July 21, 2025 1 year ago July 21st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
MiniMax M1 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen3 |
Key Features Advanced capabilities | ✓Function CallingStructured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
MiniMax M1 is roughly 6.1x more expensive compared to Qwen3 235B A22B Instruct 2507 for input tokens and roughly 4.0x more expensive for output tokens.
| MiniMax M1 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.55 per million tokens | $0.09 per million tokens |
Output Token Cost Cost per million output tokens | $2.20 per million tokens | $0.55 per million tokens |
Benchmarks
Compare relevant benchmarks between MiniMax M1 and Qwen3 235B A22B Instruct 2507.
| MiniMax M1 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,088 Elo (#85 in Data Viz (47.7% win rate)) |
At a Glance
Quick overview of what makes MiniMax M1 and Qwen3 235B A22B Instruct 2507 unique.
MiniMax M1 by MiniMax can use external tools and APIs, offers advanced reasoning. It can handle standard conversations with its 1M token context window. Reasonably priced at $0.55/M input and $2.20/M output tokens. Released June 17th, 2025.Qwen3 235B A22B Instruct 2507 by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.09/M input and $0.55/M output tokens. Released July 21st, 2025.Explore More Comparisons
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Compare Qwen3 235B A22B Instruct 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