Gemini 3.1 Pro vs MiMo-V2.6-Flash
Gemini 3.1 Pro and MiMo-V2.6-Flash are closely matched at 43.3 and 45.6 on the LLM Stats Score. MiMo-V2.6-Flash is 25.7x cheaper per token.
Google · Xiaomi · Updated for 2026
Which is better?
Gemini 3.1 Pro and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 43.3 and 45.6.
In the 1 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Flash is roughly 25.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Flash 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 Gemini 3.1 Pro
- you want predictable pricing at $2.00/M input and $12.00/M output
Choose MiMo-V2.6-Flash
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 25.7x 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 Sep 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Gemini 3.1 Pro · 16 for MiMo-V2.6-Flash
Gemini 3.1 Pro outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 1 benchmark (DeepSWE 1.1).
MiMo-V2.6-Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 14.3x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 42.9x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Gemini 3.1 Pro's 1,000,000 tokens. Only Gemini 3.1 Pro specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemini 3.1 Pro and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
MiMo-V2.6-Flash
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while MiMo-V2.6-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 7 months newer than Gemini 3.1 Pro.
Feb 19, 2026
7 months ago
Sep 22, 2026
0 days ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while MiMo-V2.6-Flash's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. MiMo-V2.6-Flash is available from Xiaomi.
Gemini 3.1 Pro
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs MiMo-V2.6-Flash.