DeepSeek-V4-Pro-0813 vs Min istral 3 (3B Reasoning 2512)
Comparing DeepSeek-V4-Pro-0813 and Min istral 3 (3B Reasoning 2512) across benchmarks, pricing, and capabilities.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Min istral 3 (3B Reasoning 2512) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Min istral 3 (3B Reasoning 2512) is roughly 5.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Min istral 3 (3B Reasoning 2512)
- cost matters — it's about 5.4x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and Min istral 3 (3B Reasoning 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 4.3x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 8.7x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Min istral 3 (3B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1597.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 53233.3% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Min istral 3 (3B Reasoning 2512)'s 131,100 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Min istral 3 (3B Reasoning 2512) is limited to 131,100 tokens.
Input Capabilities
Supported data types and modalities
Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Min istral 3 (3B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Min istral 3 (3B Reasoning 2512)
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Min istral 3 (3B 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-Pro-0813 was released on 2026-08-13, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.
DeepSeek-V4-Pro-0813 is 8 months newer than Min istral 3 (3B Reasoning 2512).
Aug 13, 2026
1 weeks ago
8mo 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-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Min istral 3 (3B Reasoning 2512) is available from Mistral AI.
DeepSeek-V4-Pro-0813
Min istral 3 (3B Reasoning 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Min istral 3 (3B Reasoning 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Min istral 3 (3B Reasoning 2512).