Model Comparison

Gemini 3.6 Flash vs MiMo-V2-FlashWhich is better in 2026?

Comparing Gemini 3.6 Flash and MiMo-V2-Flash across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.6 Flash vs MiMo-V2-Flash — which is better?

Gemini 3.6 Flash (by Google) and MiMo-V2-Flash (by Xiaomi) 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, MiMo-V2-Flash is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.6 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.6 Flash if…

  • 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 MiMo-V2-Flash if…

  • cost matters — it's about 20.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.6 Flash and MiMo-V2-Flashdon'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

MiMo-V2-Flash costs less

For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 15.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 25.0x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

In conclusion, Gemini 3.6 Flash is more expensive than MiMo-V2-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jul 22 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.6 Flash accepts 1,048,576 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Gemini 3.6 Flash can generate longer responses up to 65,536 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.6 Flash supports multimodal inputs, whereas MiMo-V2-Flash does not.

Gemini 3.6 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.6 Flash

Text
Images
Audio
Video

MiMo-V2-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.6 Flash is licensed under a proprietary license, while MiMo-V2-Flash uses MIT.

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

Gemini 3.6 Flash

Proprietary

Closed source

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while MiMo-V2-Flash was released on 2025-12-16.

Gemini 3.6 Flash is 7 months newer than MiMo-V2-Flash.

Gemini 3.6 Flash

Jul 21, 2026

1 days ago

7mo newer
MiMo-V2-Flash

Dec 16, 2025

7 months ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while MiMo-V2-Flash's cutoff date is not specified.

We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.

Gemini 3.6 Flash

Mar 2026

MiMo-V2-Flash

Provider Availability

Gemini 3.6 Flash is available from Google. MiMo-V2-Flash is available from Xiaomi.

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.6 Flash and MiMo-V2-Flash side-by-side, then vote on the output you prefer.

Gemini 3.6 Flash
✓ Preferred
MiMo-V2-Flash
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.6 Flash
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about Gemini 3.6 Flash vs MiMo-V2-Flash.

Which is better, Gemini 3.6 Flash or MiMo-V2-Flash?

Gemini 3.6 Flash (Google) and MiMo-V2-Flash (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.6 Flash compare to MiMo-V2-Flash in benchmarks?

Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

Is Gemini 3.6 Flash cheaper than MiMo-V2-Flash?

MiMo-V2-Flash is 15.0x cheaper for input tokens. Gemini 3.6 Flash costs $1.50/M input and $7.50/M output via google. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.

What are the context window sizes for Gemini 3.6 Flash and MiMo-V2-Flash?

Gemini 3.6 Flash supports 1.0M tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.6 Flash and MiMo-V2-Flash?

Key differences include context window (1.0M vs 256K), input pricing ($1.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.6 Flash and MiMo-V2-Flash?

Gemini 3.6 Flash is developed by Google and MiMo-V2-Flash is developed by Xiaomi.