Compare DeepSeek V4 Pro 0423 from DeepSeek and Mistral Medium 3.5 from Mistral AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.




DeepSeek V4 Pro 0423 and Mistral Medium 3.5 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
DeepSeek V4 Pro 0423, from DeepSeek, has a 1,048,576-token context window and is priced at $0.2079/M tokens input, $0.4157/M tokens output on OpenRouter.
Mistral Medium 3.5, from Mistral AI, has a 262,144-token context window and is priced at $1.50/M tokens input, $7.50/M tokens output on OpenRouter.
| Attribute | DeepSeek V4 Pro 0423 | Mistral Medium 3.5 |
|---|---|---|
| Input price | $0.2079/M tokens | $1.50/M tokens |
| Output price | $0.4157/M tokens | $7.50/M tokens |
| Context window | 1,048,576 tokens | 262,144 tokens |
| Intelligence Index | 30.1 | 14.2 |
| Coding Index | 58.7 | 46.9 |
| Agentic Index | Not available | 7.0 |
| Latency (p50) | 1.03 s | 0.53 s |
| Throughput (p50) | 56.0 tok/s | 89.0 tok/s |
Benchmark data updated
DeepSeek V4 Pro 0423 is cheaper than Mistral Medium 3.5 on OpenRouter: DeepSeek V4 Pro 0423 costs $0.2079/M tokens input and $0.4157/M tokens output, while Mistral Medium 3.5 costs $1.50/M tokens input and $7.50/M tokens output.
DeepSeek V4 Pro 0423 has the longer context window at 1,048,576 tokens, compared with 262,144 tokens for Mistral Medium 3.5.
Mistral Medium 3.5 is faster on OpenRouter, generating a median 89.0 tokens per second compared with 56.0 tokens per second for DeepSeek V4 Pro 0423.
DeepSeek V4 Pro 0423 scores higher on coding, with an Artificial Analysis Coding Index of 58.7 compared with 46.9 for Mistral Medium 3.5.