Model Comparison

Gemini 3.1 Pro vs MiMo-V2-Pro

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks. MiMo-V2-Pro is 3.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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

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

Fri Apr 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Pro costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.5x more expensive than MiMo-V2-Pro ($1.00/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 5.0x more expensive than MiMo-V2-Pro ($3.00/1M tokens).

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

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

Lowest available price from all providers
Fri Apr 03 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Fri Apr 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas MiMo-V2-Pro does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

MiMo-V2-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.1 Pro

Proprietary

Closed source

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while MiMo-V2-Pro was released on 2026-03-18.

MiMo-V2-Pro is 1 month newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

MiMo-V2-Pro

Mar 18, 2026

2 weeks ago

3w newer

Knowledge Cutoff

When training data ends

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

Gemini 3.1 Pro

Jan 2025

MiMo-V2-Pro

—

Provider Availability

Gemini 3.1 Pro is available from Google. MiMo-V2-Pro is available from Xiaomi.

Gemini 3.1 Pro

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

MiMo-V2-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher SWE-Bench Verified score (80.6% vs 78.0%)
Higher Terminal-Bench 2.0 score (68.5% vs 57.1%)
Xiaomi
Less expensive input tokens
Less expensive output tokens
Higher GDPval-AA score (47.5% vs 43.9%)

Detailed Comparison

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

FAQ

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

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks. Gemini 3.1 Pro is made by Google and MiMo-V2-Pro is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.
MiMo-V2-Pro is 2.5x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. MiMo-V2-Pro costs $1.00/M input and $3.00/M output via xiaomi.
Gemini 3.1 Pro supports 1.0M tokens and MiMo-V2-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 1.0M), input pricing ($2.50 vs $1.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and MiMo-V2-Pro is developed by Xiaomi.