Model Comparison
MiMo-V2.5-Pro vs Ministral 3 (8B Reasoning 2512)Which is better in 2026?
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (8B Reasoning 2512) is 3.6x cheaper per token.
Verdict: MiMo-V2.5-Pro vs Ministral 3 (8B Reasoning 2512) — which is better?
MiMo-V2.5-Pro (by Xiaomi) 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.
MiMo-V2.5-Pro outperforms in 0 benchmarks, while Ministral 3 (8B Reasoning 2512) is better at 1 benchmark (GPQA). Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
On price, Ministral 3 (8B Reasoning 2512) is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiMo-V2.5-Pro if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Choose Ministral 3 (8B Reasoning 2512) if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 3.6x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5-Pro outperforms in 0 benchmarks, while Ministral 3 (8B Reasoning 2512) is better at 1 benchmark (GPQA).
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5-Pro ($0.43/1M tokens) is 2.9x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 5.8x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).
In conclusion, MiMo-V2.5-Pro is more expensive than Ministral 3 (8B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 1015.2B more parameters than Ministral 3 (8B Reasoning 2512), making it 12690.6% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro 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 MiMo-V2.5-Pro is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.5-Pro
Ministral 3 (8B Reasoning 2512)
License
Usage and distribution terms
MiMo-V2.5-Pro 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
MiMo-V2.5-Pro was released on 2026-04-27, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.
MiMo-V2.5-Pro is 5 months newer than Ministral 3 (8B Reasoning 2512).
Apr 27, 2026
3 months ago
4mo newerDec 4, 2025
7 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
MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.
MiMo-V2.5-Pro
Ministral 3 (8B Reasoning 2512)
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5-Pro vs Ministral 3 (8B Reasoning 2512).