Compare Mistral Small 3.2 24B from Mistral AI and Qwen3 VL 235B A22B Instruct from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.




Mistral Small 3.2 24B and Qwen3 VL 235B A22B Instruct are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Mistral Small 3.2 24B, from Mistral AI, has a 256,000-token context window and is priced at $0.075/M tokens input, $0.20/M tokens output on OpenRouter.
Qwen3 VL 235B A22B Instruct, from Qwen, has a 262,144-token context window and is priced at $0.20/M tokens input, $0.88/M tokens output on OpenRouter.
| Mistral Small 3.2 24B | Qwen3 VL 235B A22B Instruct | |
|---|---|---|
| Input price | $0.075/M tokens | $0.20/M tokens |
| Output price | $0.20/M tokens | $0.88/M tokens |
| Context window | 256,000 tokens | 262,144 tokens |
| Intelligence Index | Not available | 9.9 |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 0.62 s | 1.77 s |
| Throughput (p50) | 32.0 tok/s | 10.0 tok/s |
Mistral Small 3.2 24B is cheaper than Qwen3 VL 235B A22B Instruct on OpenRouter: Mistral Small 3.2 24B costs $0.075/M tokens input and $0.20/M tokens output, while Qwen3 VL 235B A22B Instruct costs $0.20/M tokens input and $0.88/M tokens output.
Qwen3 VL 235B A22B Instruct has the longer context window at 262,144 tokens, compared with 256,000 tokens for Mistral Small 3.2 24B.
Mistral Small 3.2 24B is faster on OpenRouter, generating a median 32.0 tokens per second compared with 10.0 tokens per second for Qwen3 VL 235B A22B Instruct.