Model Comparison

Gemini 2.0 Flash-Lite vs MiMo-V2.5-ProWhich is better in 2026?

Gemini 2.0 Flash-Lite shows notably better performance in the majority of benchmarks. Gemini 2.0 Flash-Lite is 4.3x cheaper per token.

Verdict: Gemini 2.0 Flash-Lite vs MiMo-V2.5-Pro — which is better?

Gemini 2.0 Flash-Lite (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 2.0 Flash-Lite outperforms in 2 benchmarks (MATH, MMLU-Pro), while MiMo-V2.5-Pro is better at 1 benchmark (GPQA). Gemini 2.0 Flash-Lite shows notably better performance in the majority of benchmarks.

On price, Gemini 2.0 Flash-Lite is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Gemini 2.0 Flash-Lite if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • cost matters — it's about 4.3x cheaper per token

Choose MiMo-V2.5-Pro if…

  • 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

3 benchmarks

Gemini 2.0 Flash-Lite outperforms in 2 benchmarks (MATH, MMLU-Pro), while MiMo-V2.5-Pro is better at 1 benchmark (GPQA).

Gemini 2.0 Flash-Lite shows notably better performance in the majority of benchmarks.

Wed Jul 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 6.2x cheaper than MiMo-V2.5-Pro ($0.43/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 2.9x cheaper than MiMo-V2.5-Pro ($0.87/1M tokens).

In conclusion, MiMo-V2.5-Pro is more expensive than Gemini 2.0 Flash-Lite.*

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

Lowest available price from all providers
Wed Jul 29 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Xiaomi
MiMo-V2.5-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
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-Pro can generate longer responses up to 131,072 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Wed Jul 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas MiMo-V2.5-Pro does not.

Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

MiMo-V2.5-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite

Proprietary

Closed source

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while MiMo-V2.5-Pro was released on 2026-04-27.

MiMo-V2.5-Pro is 15 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.5 years ago

MiMo-V2.5-Pro

Apr 27, 2026

3 months ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while MiMo-V2.5-Pro's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without MiMo-V2.5-Pro's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

MiMo-V2.5-Pro

—

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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

Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MATH score (86.8% vs 86.2%)
Higher MMLU-Pro score (71.6% vs 68.5%)
Xiaomi
Has open weights
Higher GPQA score (66.7% vs 51.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
MiMo-V2.5-Pro
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Xiaomi
MiMo-V2.5-Pro

FAQ

Common questions about Gemini 2.0 Flash-Lite vs MiMo-V2.5-Pro.

Which is better, Gemini 2.0 Flash-Lite or MiMo-V2.5-Pro?

Gemini 2.0 Flash-Lite shows notably better performance in the majority of benchmarks. Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite compare to MiMo-V2.5-Pro in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. 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 2.0 Flash-Lite cheaper than MiMo-V2.5-Pro?

Gemini 2.0 Flash-Lite is 6.2x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/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 2.0 Flash-Lite and MiMo-V2.5-Pro?

Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite and MiMo-V2.5-Pro?

Key differences include input pricing ($0.07 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 2.0 Flash-Lite and MiMo-V2.5-Pro?

Gemini 2.0 Flash-Lite is developed by Google and MiMo-V2.5-Pro is developed by Xiaomi.

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