Model Comparison

Gemini 1.5 Flash vs Kimi-k1.5

Kimi-k1.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.5 Flash outperforms in 0 benchmarks, while Kimi-k1.5 is better at 3 benchmarks (MathVista, MMLU, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Mon Mar 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
Mon Mar 30 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Moonshot AI
Kimi-k1.5
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 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Mon Mar 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Flash and Kimi-k1.5 support multimodal inputs.

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

Gemini 1.5 Flash

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.5 Flash

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 9 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

1.9 years ago

Kimi-k1.5

Jan 20, 2025

1.2 years ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while Kimi-k1.5's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Gemini 1.5 Flash

Nov 2023

Kimi-k1.5

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Moonshot AI
Higher MathVista score (74.9% vs 65.8%)
Higher MMLU score (87.4% vs 78.9%)
Higher MMMU score (70.0% vs 62.3%)
GoogleGemini 1.5 Flash
Moonshot AIKimi-k1.5
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Moonshot AI
Kimi-k1.5

FAQ

Common questions about Gemini 1.5 Flash vs Kimi-k1.5

Kimi-k1.5 significantly outperforms across most benchmarks. Gemini 1.5 Flash 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.
Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.
Gemini 1.5 Flash 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.
Gemini 1.5 Flash is developed by Google and Kimi-k1.5 is developed by Moonshot AI.