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Gemini 2.0 Flash Thinking vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 16.7.

Google · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 16.7, ranking #57 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 40.6 and ranks #57 on LLM Stats
  • 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.

Gemini 2.0 Flash Thinking
Google
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
16.7
#222
40.6
#57
Cost, coverage & limits
Benchmark wins
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Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 3 for MiMo-V2.6-Pro

No common benchmarks found

Gemini 2.0 Flash Thinking and MiMo-V2.6-Prodon'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

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and MiMo-V2.6-Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while MiMo-V2.6-Pro uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 20 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while MiMo-V2.6-Pro's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without MiMo-V2.6-Pro's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

MiMo-V2.6-Pro

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs MiMo-V2.6-Pro.

Which is better, Gemini 2.0 Flash Thinking or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 16.7. Gemini 2.0 Flash Thinking is made by Google and MiMo-V2.6-Pro is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to MiMo-V2.6-Pro in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%.

What are the main differences between Gemini 2.0 Flash Thinking and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (16.7 vs 40.6), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and MiMo-V2.6-Pro?

Gemini 2.0 Flash Thinking is developed by Google and MiMo-V2.6-Pro is developed by Xiaomi.

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