MiniMax-01 vs Qwen3 235B A22B Thinking 2507
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MiniMax-01 and Qwen3 235B A22B Thinking 2507.
MiniMax-01
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Technical Specifications
| Specification | MiniMax-01 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Provider | MiniMax | Alibaba |
| Context Window | 1,000,192 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-01-15 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax-01
$0.20
Qwen3 235B A22B Thinking 2507
$0.15
Output Price per Million Tokens
MiniMax-01
$1.10
Qwen3 235B A22B Thinking 2507
$1.50
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
MiniMax-01 Quirks & Gotchas
No developer gotchas reported.
Qwen3 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.