Model Comparison
DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B InstructWhich is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Instruct across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B Instruct — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and Mistral Small 3 24B Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Mistral Small 3 24B Instruct is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V4-Flash-0731 if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Mistral Small 3 24B Instruct if…
- cost matters — it's about 1.3x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 1.3x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.3x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).
In conclusion, DeepSeek-V4-Flash-0731 is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 280.0B more parameters than Mistral Small 3 24B Instruct, making it 1166.7% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 65,536 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Mistral Small 3 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Mistral Small 3 24B Instruct was released on 2025-01-30.
DeepSeek-V4-Flash-0731 is 18 months newer than Mistral Small 3 24B Instruct.
Jul 31, 2026
3 days ago
1.5yr newerJan 30, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
—
Oct 2023
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
DeepSeek-V4-Flash-0731
Mistral Small 3 24B Instruct
Outputs Comparison
Key Takeaways
Mistral Small 3 24B Instruct
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B Instruct.