Model Comparison

Gemini 1.5 Flash 8B vs Kimi-k1.5Which is better in 2026?

Kimi-k1.5 significantly outperforms across most benchmarks.

Verdict: Gemini 1.5 Flash 8B vs Kimi-k1.5 — which is better?

Gemini 1.5 Flash 8B (by Google) and Kimi-k1.5 (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 1.5 Flash 8B outperforms in 0 benchmarks, while Kimi-k1.5 is better at 2 benchmarks (MathVista, MMMU). Kimi-k1.5 significantly outperforms across most benchmarks.

Choose Gemini 1.5 Flash 8B if…

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose Kimi-k1.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while Kimi-k1.5 is better at 2 benchmarks (MathVista, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Flash 8B 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 8B

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 8B

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 10 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Kimi-k1.5

Jan 20, 2025

1.4 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Kimi-k1.5's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Kimi-k1.5

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Moonshot AI
Higher MathVista score (74.9% vs 54.7%)
Higher MMMU score (70.0% vs 53.7%)
GoogleGemini 1.5 Flash 8B
Moonshot AIKimi-k1.5
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
Moonshot AI
Kimi-k1.5

FAQ

Common questions about Gemini 1.5 Flash 8B vs Kimi-k1.5.

Which is better, Gemini 1.5 Flash 8B or Kimi-k1.5?

Kimi-k1.5 significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B 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.

How does Gemini 1.5 Flash 8B compare to Kimi-k1.5 in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for Gemini 1.5 Flash 8B and Kimi-k1.5?

Gemini 1.5 Flash 8B 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.

Who makes Gemini 1.5 Flash 8B and Kimi-k1.5?

Gemini 1.5 Flash 8B is developed by Google and Kimi-k1.5 is developed by Moonshot AI.

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