DeepSeek V4 Flash vs Mistral Large
Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V4 Flash is meaningfully stronger at cost efficiency (95 vs 66 on our capability index).
- •Mistral Large is meaningfully stronger at multimodal (65 vs 10).
- •DeepSeek V4 Flash is open-weights (free to self-host); Mistral Large is paid API only.
- •DeepSeek V4 Flash has a 1M tokens context window vs 128000 - better for whole-repo or long-document work.
Specs comparison
| DeepSeek V4 Flash | Mistral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Type | Open source | Closed source |
| Context window | ✓1M tokens | 128000 |
| Input / 1M tokens | ✓Free (self-host) | 2.00 |
| Output / 1M tokens | Free (self-host) | 6.00 |
| Release date | 2026-04 | 2024-02 |
Benchmarks
| Benchmark | DeepSeek V4 Flash | Mistral Large |
|---|---|---|
| Reasoning (vs V4 Pro) | Closely approaches V4 Pro | - |
| MMLU | - | 84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose DeepSeek V4 Flash if...
- →You want most of V4 Pro's capability at a lower price and higher throughput
- →You need long context but on a tighter compute or cost budget
- →You are serving high request volumes where per-token cost dominates
- →You want an open model small enough to self-host on modest multi-GPU setups
Choose Mistral Large if...
- →You need a strong European-built flagship with open weights
- →Your work is multilingual or requires nuanced reasoning
- →You want structured/JSON output and solid coding ability
- →You need the option to self-host for data sovereignty