Model Comparison

Gemini 2.0 Flash-Lite vs Kimi K2 BaseWhich is better in 2026?

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

Verdict: Gemini 2.0 Flash-Lite vs Kimi K2 Base — which is better?

Gemini 2.0 Flash-Lite (by Google) and Kimi K2 Base (by Moonshot AI) 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 3 benchmarks (GPQA, MATH, MMLU-Pro), while Kimi K2 Base is better at 1 benchmark (SimpleQA). Gemini 2.0 Flash-Lite shows notably better performance in the majority of benchmarks.

Choose Gemini 2.0 Flash-Lite if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks

Choose Kimi K2 Base if…

  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.0 Flash-Lite outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Kimi K2 Base is better at 1 benchmark (SimpleQA).

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

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas Kimi K2 Base 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

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while Kimi K2 Base 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

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 5 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.5 years ago

Kimi K2 Base

Jul 11, 2025

1.0 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Kimi K2 Base'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 Kimi K2 Base's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Kimi K2 Base

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (51.5% vs 48.1%)
Higher MATH score (86.8% vs 70.2%)
Higher MMLU-Pro score (71.6% vs 69.2%)
Moonshot AI
Has open weights
Higher SimpleQA score (35.3% vs 21.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Kimi K2 Base side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Kimi K2 Base
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Kimi K2 Base.

Which is better, Gemini 2.0 Flash-Lite or Kimi K2 Base?

Gemini 2.0 Flash-Lite shows notably better performance in the majority of benchmarks. Gemini 2.0 Flash-Lite is made by Google and Kimi K2 Base is made by Moonshot AI. 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 Kimi K2 Base 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%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for Gemini 2.0 Flash-Lite and Kimi K2 Base?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Kimi K2 Base supports an unknown number of 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 Kimi K2 Base?

Key differences include 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 Kimi K2 Base?

Gemini 2.0 Flash-Lite is developed by Google and Kimi K2 Base is developed by Moonshot AI.

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