token.app โบ Compare โบ Mistral Large 2407 vs DeepSeek V4 Flash 0731
Mistral Large 2407 vs DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads on 2 of 2 shared benchmarks. DeepSeek V4 Flash 0731 is 27ร cheaper per token on a blended 3:1 basis. DeepSeek V4 Flash 0731 accepts the larger context window (1.0M).
Head to head
Blended price uses a 3:1 input:output mix
| Mistral Large 2407 | DeepSeek V4 Flash 0731 | |
|---|---|---|
| Provider | Mistral AI | DeepSeek |
| Input $/1M | $2.00 | $0.090 |
| Output $/1M | $6.00 | $0.180 |
| Blended $/1M | $3.00 | $0.113 |
| Context window | 131K | 1.0M |
| Max output | โ | 384K |
| Released | Nov 2024 | Jul 2026 |
| Licence | Proprietary | Open weights |
| GPQA Diamond | 49.0% | 91.0% |
| OTIS Mock AIME | 8.5% | 94.4% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose Mistral Large 2407 ifโฆ
- No clear advantage on the data we hold.
Choose DeepSeek V4 Flash 0731 ifโฆ
- Costs less per token โ $0.113 vs $3.00 blended
- Higher GPQA Diamond (91.0% vs 49.0%)
- Higher OTIS Mock AIME (94.4% vs 8.5%)
- Larger context window (1.0M)
- Open weights โ self-hostable
- Newer model (released Jul 2026)
FAQ
Which is better, Mistral Large 2407 or DeepSeek V4 Flash 0731?
Across the 2 benchmarks both models have independently-run scores for, Mistral Large 2407 leads on 0 and DeepSeek V4 Flash 0731 leads on 2. Benchmarks are one input โ price and context window are on this page too.
Is Mistral Large 2407 cheaper than DeepSeek V4 Flash 0731?
DeepSeek V4 Flash 0731 is cheaper: $0.113 versus $3.00 per million tokens blended at 3:1 input:output. Input alone: $2.00 vs $0.090. Output alone: $6.00 vs $0.180.
What context windows do Mistral Large 2407 and DeepSeek V4 Flash 0731 have?
Mistral Large 2407: 131,072 tokens. DeepSeek V4 Flash 0731: 1,048,576 tokens.
Who makes Mistral Large 2407 and DeepSeek V4 Flash 0731?
Mistral Large 2407 is made by Mistral AI. DeepSeek V4 Flash 0731 is made by DeepSeek.
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