Model Comparison

Gemini 3.5 Flash-Lite vs Kimi K2-Thinking-0905Which is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Kimi K2-Thinking-0905 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Kimi K2-Thinking-0905 — which is better?

Gemini 3.5 Flash-Lite (by Google) and Kimi K2-Thinking-0905 (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 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Kimi K2-Thinking-0905 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Kimi K2-Thinking-0905don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.5 Flash-Lite costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.6x cheaper than Kimi K2-Thinking-0905 ($0.47/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 1.3x more expensive than Kimi K2-Thinking-0905 ($2.00/1M tokens).

In conclusion, Kimi K2-Thinking-0905 is more expensive than Gemini 3.5 Flash-Lite.*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to Kimi K2-Thinking-0905's 262,144 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.5 Flash-Lite supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Kimi K2-Thinking-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Kimi K2-Thinking-0905 uses MIT.

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

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Kimi K2-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Kimi K2-Thinking-0905 was released on 2025-09-05.

Gemini 3.5 Flash-Lite is 11 months newer than Kimi K2-Thinking-0905.

Gemini 3.5 Flash-Lite

Jul 21, 2026

5 days ago

10mo newer
Kimi K2-Thinking-0905

Sep 5, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Kimi K2-Thinking-0905's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Kimi K2-Thinking-0905's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

Kimi K2-Thinking-0905

—

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Moonshot AI
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Kimi K2-Thinking-0905 side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Kimi K2-Thinking-0905
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Moonshot AI
Kimi K2-Thinking-0905

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Kimi K2-Thinking-0905.

Which is better, Gemini 3.5 Flash-Lite or Kimi K2-Thinking-0905?

Gemini 3.5 Flash-Lite (Google) and Kimi K2-Thinking-0905 (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash-Lite compare to Kimi K2-Thinking-0905 in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%.

Is Gemini 3.5 Flash-Lite cheaper than Kimi K2-Thinking-0905?

Gemini 3.5 Flash-Lite is 1.6x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra.

What are the context window sizes for Gemini 3.5 Flash-Lite and Kimi K2-Thinking-0905?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Kimi K2-Thinking-0905 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and Kimi K2-Thinking-0905?

Key differences include context window (1.0M vs 262K), input pricing ($0.30 vs $0.47/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Kimi K2-Thinking-0905?

Gemini 3.5 Flash-Lite is developed by Google and Kimi K2-Thinking-0905 is developed by Moonshot AI.

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