Model Comparison

Gemini 2.5 Flash-Lite vs Kimi-k1.5Which is better in 2026?

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Flash-Lite vs Kimi-k1.5 — which is better?

Gemini 2.5 Flash-Lite (by Google) and Kimi-k1.5 (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 2.5 Flash-Lite outperforms in 1 benchmarks (MMMU), while Kimi-k1.5 is better at 0 benchmarks. Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Choose Gemini 2.5 Flash-Lite if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune

Choose Kimi-k1.5 if…

  • you are already invested in the Moonshot AI ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Flash-Lite outperforms in 1 benchmarks (MMMU), while Kimi-k1.5 is better at 0 benchmarks.

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash-Lite and Kimi-k1.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Kimi-k1.5 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Kimi-k1.5 was released on 2025-01-20.

Gemini 2.5 Flash-Lite is 5 months newer than Kimi-k1.5.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.1 years ago

4mo newer
Kimi-k1.5

Jan 20, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Kimi-k1.5's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

Kimi-k1.5

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Has open weights
Higher MMMU score (72.9% vs 70.0%)
Moonshot AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and Kimi-k1.5 side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
Kimi-k1.5
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Moonshot AI
Kimi-k1.5

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Kimi-k1.5.

Which is better, Gemini 2.5 Flash-Lite or Kimi-k1.5?

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and Kimi-k1.5 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Flash-Lite compare to Kimi-k1.5 in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for Gemini 2.5 Flash-Lite and Kimi-k1.5?

Gemini 2.5 Flash-Lite supports 1.0M tokens and Kimi-k1.5 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 2.5 Flash-Lite and Kimi-k1.5?

Key differences include licensing (Creative Commons Attribution 4.0 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Kimi-k1.5?

Gemini 2.5 Flash-Lite is developed by Google and Kimi-k1.5 is developed by Moonshot AI.

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