Model Comparison

Gemini 2.5 Flash vs Kimi K2-Instruct-0905

Gemini 2.5 Flash shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemini 2.5 Flash outperforms in 5 benchmarks (Aider-Polyglot, AIME 2024, AIME 2025, GPQA, Humanity's Last Exam), while Kimi K2-Instruct-0905 is better at 2 benchmarks (SimpleQA, SWE-Bench Verified).

Gemini 2.5 Flash shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemini 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Moonshot AI
Kimi K2-Instruct-0905
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

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

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 2.5 Flash

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash is licensed under a proprietary license, while Kimi K2-Instruct-0905 uses MIT.

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

Gemini 2.5 Flash

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash was released on 2025-05-20, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 4 months newer than Gemini 2.5 Flash.

Gemini 2.5 Flash

May 20, 2025

10 months ago

Kimi K2-Instruct-0905

Sep 5, 2025

7 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while Kimi K2-Instruct-0905's cutoff date is not specified.

We can confirm Gemini 2.5 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Kimi K2-Instruct-0905's cutoff date.

Gemini 2.5 Flash

Jan 2025

Kimi K2-Instruct-0905

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (61.9% vs 60.0%)
Higher AIME 2024 score (88.0% vs 69.6%)
Higher AIME 2025 score (72.0% vs 49.5%)
Higher GPQA score (82.8% vs 75.1%)
Higher Humanity's Last Exam score (11.0% vs 4.7%)
Has open weights
Higher SimpleQA score (31.0% vs 26.9%)
Higher SWE-Bench Verified score (65.8% vs 60.4%)
GoogleGemini 2.5 Flash
Moonshot AIKimi K2-Instruct-0905

Detailed Comparison

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

FAQ

Common questions about Gemini 2.5 Flash vs Kimi K2-Instruct-0905

Gemini 2.5 Flash shows notably better performance in the majority of benchmarks. Gemini 2.5 Flash is made by Google and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.
Gemini 2.5 Flash supports 1.0M tokens and Kimi K2-Instruct-0905 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash is developed by Google and Kimi K2-Instruct-0905 is developed by Moonshot AI.