Model Comparison

Gemini 3 Pro vs MiMo-V2.5Which is better in 2026?

Gemini 3 Pro shows notably better performance in the majority of benchmarks. MiMo-V2.5 is 21.4x cheaper per token.

Verdict: Gemini 3 Pro vs MiMo-V2.5 — which is better?

Gemini 3 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 Pro outperforms in 2 benchmarks (CharXiv-R, MMMU-Pro), while MiMo-V2.5 is better at 1 benchmark (Terminal-Bench 2.0). Gemini 3 Pro shows notably better performance in the majority of benchmarks.

On price, MiMo-V2.5 is roughly 21.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Gemini 3 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 21.4x 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 Pro outperforms in 2 benchmarks (CharXiv-R, MMMU-Pro), while MiMo-V2.5 is better at 1 benchmark (Terminal-Bench 2.0).

Gemini 3 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 Pro ($2.00/1M tokens) is 11.9x more expensive than MiMo-V2.5 ($0.17/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 35.7x more expensive than MiMo-V2.5 ($0.34/1M tokens).

In conclusion, Gemini 3 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 Pro
Input tokens$2.00
Output tokens$12.00
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 Pro is limited to 65,536 tokens.

Google
Gemini 3 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 Pro and MiMo-V2.5 support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 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 Pro

Proprietary

Closed source

MiMo-V2.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while MiMo-V2.5 was released on 2026-04-22.

MiMo-V2.5 is 5 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

6 months ago

MiMo-V2.5

Apr 22, 2026

1 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 3 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 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiMo-V2.5's cutoff date.

Gemini 3 Pro

Jan 2025

MiMo-V2.5

—

Provider Availability

Gemini 3 Pro is available from Google. MiMo-V2.5 is available from Novita, DeepInfra.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Higher CharXiv-R score (81.4% vs 81.0%)
Higher MMMU-Pro score (81.0% vs 77.9%)
Xiaomi
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Terminal-Bench 2.0 score (65.8% vs 54.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Xiaomi
MiMo-V2.5

FAQ

Common questions about Gemini 3 Pro vs MiMo-V2.5.

Which is better, Gemini 3 Pro or MiMo-V2.5?

Gemini 3 Pro shows notably better performance in the majority of benchmarks. Gemini 3 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 Pro compare to MiMo-V2.5 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. 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 Pro cheaper than MiMo-V2.5?

MiMo-V2.5 is 11.9x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/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 Pro and MiMo-V2.5?

Gemini 3 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 Pro and MiMo-V2.5?

Key differences include input pricing ($2.00 vs $0.17/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and MiMo-V2.5?

Gemini 3 Pro is developed by Google and MiMo-V2.5 is developed by Xiaomi.

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