DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B Instruct
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.3 to 4.2. Mistral Small 3 24B Instruct is 1.6x cheaper per token.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.3 to 4.2, ranking #39 overall.
On price, Mistral Small 3 24B Instruct is roughly 1.6x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- overall performance matters — it scores 44.3 and ranks #39 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- 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
- cost matters — it's about 1.6x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 8 for Mistral Small 3 24B Instruct
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.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 1.2x more expensive than Mistral Small 3 24B Instruct ($0.05/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 2.3x more expensive than Mistral Small 3 24B Instruct ($0.08/1M 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 32,768 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Mistral Small 3 24B Instruct is limited to 32,768 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
1 months ago
1.5yr newerJan 30, 2025
1.6 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, Novita, Fireworks. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
DeepSeek-V4-Flash-0731
Mistral Small 3 24B Instruct
Outputs Comparison
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.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B Instruct.