Gemini 2.5 Flash-Lite vs Kimi K2-Thinking-0905 Comparison

Comparing Gemini 2.5 Flash-Lite and Kimi K2-Thinking-0905 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Kimi K2-Thinking-0905 is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified).

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 4.7x cheaper than Kimi K2-Thinking-0905 ($0.47/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 5.0x cheaper than Kimi K2-Thinking-0905 ($2.00/1M tokens).

In conclusion, Kimi K2-Thinking-0905 is more expensive than Gemini 2.5 Flash-Lite.*

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

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

Gemini 2.5 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 2.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Kimi K2-Thinking-0905

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 K2-Thinking-0905 uses MIT.

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 K2-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Kimi K2-Thinking-0905 was released on 2025-09-05.

Kimi K2-Thinking-0905 is 3 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

9 months ago

Kimi K2-Thinking-0905

Sep 5, 2025

6 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Kimi K2-Thinking-0905'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 K2-Thinking-0905's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

Kimi K2-Thinking-0905

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks. The availability of providers can affect quality of the model and reliability.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (100.0% vs 49.8%)
Higher GPQA score (84.5% vs 64.6%)
Higher Humanity's Last Exam score (51.0% vs 5.1%)
Higher SWE-Bench Verified score (71.3% vs 31.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Moonshot AI
Kimi K2-Thinking-0905