Model Comparison

Gemini 2.5 Pro vs MiMo-V2-Flash

MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is 22.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 2.5 Pro outperforms in 1 benchmarks (MRCR), while MiMo-V2-Flash is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified).

MiMo-V2-Flash significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 12.5x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 33.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than MiMo-V2-Flash.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
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 2.5 Pro accepts 1,048,576 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Gemini 2.5 Pro can generate longer responses up to 65,536 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas MiMo-V2-Flash does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

MiMo-V2-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro 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 2.5 Pro

Proprietary

Closed source

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while MiMo-V2-Flash was released on 2025-12-16.

MiMo-V2-Flash is 7 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

11 months ago

MiMo-V2-Flash

Dec 16, 2025

4 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while MiMo-V2-Flash's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.

Gemini 2.5 Pro

Jan 2025

MiMo-V2-Flash

—

Provider Availability

Gemini 2.5 Pro is available from Google. MiMo-V2-Flash is available from Xiaomi.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher MRCR score (93.0% vs 45.7%)
Xiaomi
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (94.1% vs 83.0%)
Higher GPQA score (83.7% vs 83.0%)
Higher Humanity's Last Exam score (22.1% vs 17.8%)
Higher SWE-Bench Verified score (73.4% vs 63.2%)
GoogleGemini 2.5 Pro
XiaomiMiMo-V2-Flash
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about Gemini 2.5 Pro vs MiMo-V2-Flash

MiMo-V2-Flash significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and MiMo-V2-Flash is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.
MiMo-V2-Flash is 12.5x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.
Gemini 2.5 Pro 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.
Key differences include context window (1.0M vs 256K), input pricing ($1.25 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and MiMo-V2-Flash is developed by Xiaomi.