MiniMax-01 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-01 and Qwen2.5 VL 72B Instruct.
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...
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-01 | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Provider | MiniMax | Alibaba |
| Context Window | 1,000,192 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 | 2025-01-15 | 2025-02-01 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax-01
$0.20
Qwen2.5 VL 72B Instruct
$0.80
Output Price per Million Tokens
MiniMax-01
$1.10
Qwen2.5 VL 72B Instruct
$1.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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.
Qwen2.5 VL 72B Instruct Quirks & Gotchas
No developer gotchas reported.