Model Comparison

Gemini 2.5 Pro Preview 06-05 vs Kimi K2 Base

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Pro Preview 06-05 outperforms in 2 benchmarks (GPQA, SimpleQA), while Kimi K2 Base is better at 0 benchmarks.

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Thu Apr 30 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
Thu Apr 30 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro Preview 06-05 specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro Preview 06-05 specifies output context (65,535 tokens).

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas Kimi K2 Base does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 1 month newer than Gemini 2.5 Pro Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

10 months ago

Kimi K2 Base

Jul 11, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while Kimi K2 Base's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without Kimi K2 Base's cutoff date.

Gemini 2.5 Pro Preview 06-05

Jan 2025

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 (86.4% vs 48.1%)
Higher SimpleQA score (54.0% vs 35.3%)
Moonshot AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro Preview 06-05
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Kimi K2 Base

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. Gemini 2.5 Pro Preview 06-05 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.
Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.
Gemini 2.5 Pro Preview 06-05 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.
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 Pro Preview 06-05 is developed by Google and Kimi K2 Base is developed by Moonshot AI.