Model Comparison
DeepSeek-V4-Flash-0731 vs Ministral 3 (8B Reasoning 2512)Which is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and Ministral 3 (8B Reasoning 2512) across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs Ministral 3 (8B Reasoning 2512) — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and Ministral 3 (8B Reasoning 2512) (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, DeepSeek-V4-Flash-0731 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…
- cost matters — it's about 1.3x cheaper per token
- 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 Ministral 3 (8B Reasoning 2512) if…
- you want predictable pricing at $0.15/M input and $0.15/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and Ministral 3 (8B Reasoning 2512)don'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 1.7x cheaper than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.2x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).
In conclusion, Ministral 3 (8B Reasoning 2512) is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 296.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 3700.0% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Ministral 3 (8B Reasoning 2512)'s 262,100 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Ministral 3 (8B Reasoning 2512)
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Ministral 3 (8B Reasoning 2512) 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 Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.
DeepSeek-V4-Flash-0731 is 8 months newer than Ministral 3 (8B Reasoning 2512).
Jul 31, 2026
3 days ago
7mo newerDec 4, 2025
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.
DeepSeek-V4-Flash-0731
Ministral 3 (8B Reasoning 2512)
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Ministral 3 (8B Reasoning 2512).