Compare Mistral Large 4 from Mistral AI and DeepSeek V4.1 Flash 1017 from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.




Mistral Large 4 and DeepSeek V4.1 Flash 1017 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Mistral Large 4, from Mistral AI, has a 1,048,576-token context window and is priced at $1.36/M tokens input, $4.18/M tokens output on OpenRouter.
DeepSeek V4.1 Flash 1017, from DeepSeek, has a 1,048,576-token context window and is priced at $0.049/M tokens input, $0.375/M tokens output on OpenRouter.
| Attribute | Mistral Large 4 | DeepSeek V4.1 Flash 1017 |
|---|---|---|
| Input price | $1.36/M tokens | $0.049/M tokens |
| Output price | $4.18/M tokens | $0.375/M tokens |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Intelligence Index | 38.4 | 39.5 |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 9.42 s | 2.10 s |
| Throughput (p50) | 30.0 tok/s | 32.0 tok/s |
Benchmark data updated
DeepSeek V4.1 Flash 1017 is cheaper than Mistral Large 4 on OpenRouter: DeepSeek V4.1 Flash 1017 costs $0.049/M tokens input and $0.375/M tokens output, while Mistral Large 4 costs $1.36/M tokens input and $4.18/M tokens output.
Mistral Large 4 and DeepSeek V4.1 Flash 1017 have the same context window of 1,048,576 tokens.
DeepSeek V4.1 Flash 1017 is faster on OpenRouter, generating a median 32.0 tokens per second compared with 30.0 tokens per second for Mistral Large 4.