MiniMax M1 vs Qwen2.5 VL 72B Instruct
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 M1 and Qwen2.5 VL 72B Instruct.
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Qwen2.5 VL 72B Instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Technical Specifications
| Specification | MiniMax M1 | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Provider | MiniMax | Alibaba |
| Context Window | 1,000,000 tokens | 131,072 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 | 2025-06-17 | 2025-02-01 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M1
$0.40
Qwen2.5 VL 72B Instruct
$0.80
Output Price per Million Tokens
MiniMax M1
$2.20
Qwen2.5 VL 72B Instruct
$1.00
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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 M1 Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 VL 72B Instruct Quirks & Gotchas
No developer gotchas reported.