Mistral Large 3 vs DeepSeek V4 Pro
Both budget models — but DeepSeek V4 Pro is 42% cheaper on output with 3.8x more context. The budget model showdown.
Pricing data verified: Jun 10, 2026
| Specification | DeepSeek V4 Pro | Mistral Large 3 |
|---|---|---|
| Input Price (per 1M tokens) | $0.435 | $0.50 |
| Output Price (per 1M tokens) | $0.87 | $1.50 |
| Context Window | 1M tokens | 262K tokens |
| Tier | Budget | Budget |
| Provider | DeepSeek | Mistral |
| License | MIT (Open Source) | Open Weights |
| Self-Hostable | Yes | Yes |
| Cost at 1M input + 500K output | $0.87 | $1.25 |
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Which Model for Which Use Case?
Cost Optimization
DeepSeek V4 Pro is consistently cheaper — 13% less on input and 42% less on output. Over high-volume workloads, those savings compound significantly. Both are budget-tier, but DeepSeek is the budget king.
Long-Document Processing
DeepSeek V4 Pro's 1M token context window is 3.8x larger than Mistral Large 3's 262K. For processing lengthy documents, codebases, or extended conversations, DeepSeek has a clear advantage.
Multilingual & European Languages
Mistral, headquartered in France, has strong support for European languages and multilingual tasks. Mistral Large 3 excels at French, German, Spanish, and other European languages with nuanced understanding.
Open Source & Self-Hosting
Both models are open and self-hostable. DeepSeek V4 Pro uses the MIT license — the most permissive option. Mistral Large 3 uses open weights with some commercial restrictions. If licensing freedom matters, DeepSeek wins.
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Frequently Asked Questions
Is DeepSeek V4 Pro cheaper than Mistral Large 3?
Yes. DeepSeek V4 Pro costs $0.435/M input and $0.87/M output. Mistral Large 3 costs $0.50/M input and $1.50/M output. DeepSeek V4 Pro is 13% cheaper on input and 42% cheaper on output. For a typical workload of 1M input + 500K output tokens/month, DeepSeek V4 Pro costs $0.87 vs Mistral Large 3's $1.25 — saving you $0.38/month (31%).
Which has a larger context window, Mistral Large 3 or DeepSeek V4 Pro?
DeepSeek V4 Pro has a significantly larger context window at 1M tokens, compared to Mistral Large 3's 262K tokens. DeepSeek V4 Pro's context is 3.8x larger, making it better suited for processing very long documents, large codebases, or extensive conversation histories.
Is Mistral Large 3 or DeepSeek V4 Pro better for coding?
DeepSeek V4 Pro is generally considered stronger at coding tasks, consistently ranking near the top of coding benchmarks. Mistral Large 3 is solid at coding but its strengths lie more in multilingual tasks, instruction following, and European language support. Both are budget-tier models with good code capabilities, but DeepSeek V4 Pro edges ahead for pure coding use cases.
Can I self-host either model?
DeepSeek V4 Pro is released under the MIT license, making it fully open source and self-hostable on your own infrastructure. Mistral Large 3 uses open weights — you can download and run it, but the license has some commercial use restrictions compared to DeepSeek's MIT license. Both can be self-hosted, but DeepSeek offers more licensing freedom.