Model Comparison

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

Both models are evenly matched across the benchmarks. MiMo-V2.5-Pro is 8.3x cheaper per token.

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

Gemini 3 Pro (by Google) and MiMo-V2.5-Pro (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 (GPQA, Humanity's Last Exam), while MiMo-V2.5-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0). Both models are evenly matched across the benchmarks.

On price, MiMo-V2.5-Pro is roughly 8.3x 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 predictable pricing at $2.00/M input and $12.00/M output

Choose MiMo-V2.5-Pro if…

  • cost matters — it's about 8.3x 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

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3 Pro outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while MiMo-V2.5-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).

Both models are evenly matched across the benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5-Pro costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 4.6x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 13.8x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than MiMo-V2.5-Pro.*

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

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Xiaomi
MiMo-V2.5-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. MiMo-V2.5-Pro 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-Pro
Input1,048,576 tokens
Output131,072 tokens
Thu Jun 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas MiMo-V2.5-Pro does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

MiMo-V2.5-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while MiMo-V2.5-Pro 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-Pro

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while MiMo-V2.5-Pro was released on 2026-04-27.

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

Gemini 3 Pro

Nov 18, 2025

6 months ago

MiMo-V2.5-Pro

Apr 27, 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-Pro'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-Pro's cutoff date.

Gemini 3 Pro

Jan 2025

MiMo-V2.5-Pro

Provider Availability

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

Gemini 3 Pro

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

MiMo-V2.5-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Higher GPQA score (91.9% vs 66.7%)
Higher Humanity's Last Exam score (45.8% vs 34.0%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (78.9% vs 76.2%)
Higher Terminal-Bench 2.0 score (68.4% vs 54.2%)

Detailed Comparison

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

FAQ

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

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

Both models are evenly matched across the benchmarks. Gemini 3 Pro is made by Google and MiMo-V2.5-Pro 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-Pro 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-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

Is Gemini 3 Pro cheaper than MiMo-V2.5-Pro?

MiMo-V2.5-Pro is 4.6x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. MiMo-V2.5-Pro costs $0.43/M input and $0.87/M output via xiaomi.

What are the context window sizes for Gemini 3 Pro and MiMo-V2.5-Pro?

Gemini 3 Pro supports 1.0M tokens and MiMo-V2.5-Pro 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-Pro?

Key differences include input pricing ($2.00 vs $0.43/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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