Model Comparison

Gemini 3.1 Pro vs MiMo-V2.5Which is better in 2026?

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks. MiMo-V2.5 is 26.8x cheaper per token.

Verdict: Gemini 3.1 Pro vs MiMo-V2.5 — which is better?

Gemini 3.1 Pro (by Google) and MiMo-V2.5 (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.

Gemini 3.1 Pro outperforms in 2 benchmarks (MMMU-Pro, Terminal-Bench 2.0), while MiMo-V2.5 is better at 1 benchmark (SWE-Bench Pro). Gemini 3.1 Pro shows notably better performance in the majority of benchmarks.

On price, MiMo-V2.5 is roughly 26.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose MiMo-V2.5 if…

  • cost matters — it's about 26.8x cheaper per token
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3.1 Pro outperforms in 2 benchmarks (MMMU-Pro, Terminal-Bench 2.0), while MiMo-V2.5 is better at 1 benchmark (SWE-Bench Pro).

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 14.9x more expensive than MiMo-V2.5 ($0.17/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 44.6x more expensive than MiMo-V2.5 ($0.34/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than MiMo-V2.5.*

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

Lowest available price from all providers
Wed Jun 10 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Xiaomi
MiMo-V2.5
Input tokens$0.17
Output tokens$0.34
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. MiMo-V2.5 can generate longer responses up to 131,072 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and MiMo-V2.5 support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while MiMo-V2.5 uses MIT.

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

Gemini 3.1 Pro

Proprietary

Closed source

MiMo-V2.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while MiMo-V2.5 was released on 2026-04-22.

MiMo-V2.5 is 2 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

MiMo-V2.5

Apr 22, 2026

1 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while MiMo-V2.5'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-V2.5's cutoff date.

Gemini 3.1 Pro

Jan 2025

MiMo-V2.5

—

Provider Availability

Gemini 3.1 Pro is available from Google. MiMo-V2.5 is available from Novita, DeepInfra.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

MiMo-V2.5

novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.34/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Higher MMMU-Pro score (80.5% vs 77.9%)
Higher Terminal-Bench 2.0 score (68.5% vs 65.8%)
Xiaomi
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Pro score (56.1% vs 54.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Xiaomi
MiMo-V2.5

FAQ

Common questions about Gemini 3.1 Pro vs MiMo-V2.5.

Which is better, Gemini 3.1 Pro or MiMo-V2.5?

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks. Gemini 3.1 Pro is made by Google and MiMo-V2.5 is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to MiMo-V2.5 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

Is Gemini 3.1 Pro cheaper than MiMo-V2.5?

MiMo-V2.5 is 14.9x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. MiMo-V2.5 costs $0.17/M input and $0.34/M output via novita.

What are the context window sizes for Gemini 3.1 Pro and MiMo-V2.5?

Gemini 3.1 Pro supports 1.0M tokens and MiMo-V2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and MiMo-V2.5?

Key differences include input pricing ($2.50 vs $0.17/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and MiMo-V2.5?

Gemini 3.1 Pro is developed by Google and MiMo-V2.5 is developed by Xiaomi.

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