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Gemini 2.0 Flash vs Kimi-k1.5

Gemini 2.0 Flash and Kimi-k1.5 are closely matched at 16.5 and 17.1 on the LLM Stats Score.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 2.0 Flash and Kimi-k1.5 are closely matched on the overall LLM Stats Score at 16.5 and 17.1.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Kimi-k1.5

  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
Kimi-k1.5
Moonshot AI
Core performance indexes
LLM Stats Score
16.5
#237
17.1
#234
Reasoning
15.8
#236
16.4
#231
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 2.0 Flash
Kimi-k1.5
Math
23.4#135
20.2#166
Vision
7.9#148
11.0#121
Multimodal
13.5#108
14.6#103
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 9 for Kimi-k1.5

1 shared

Gemini 2.0 Flash outperforms in 1 benchmarks (MMMU), while Kimi-k1.5 is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Oct 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash and Kimi-k1.5 support multimodal inputs.

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

Gemini 2.0 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 2.0 Flash

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 2 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.9 years ago

Kimi-k1.5

Jan 20, 2025

1.7 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Kimi-k1.5's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Gemini 2.0 Flash

Aug 2024

Kimi-k1.5

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Kimi-k1.5 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs Kimi-k1.5.

Which is better, Gemini 2.0 Flash or Kimi-k1.5?

Gemini 2.0 Flash and Kimi-k1.5 are closely matched on the LLM Stats Score at 16.5 and 17.1. Gemini 2.0 Flash is made by Google and Kimi-k1.5 is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash compare to Kimi-k1.5 in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. 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 2.0 Flash and Kimi-k1.5?

Gemini 2.0 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.

What are the main differences between Gemini 2.0 Flash and Kimi-k1.5?

Key differences include LLM Stats Score (16.5 vs 17.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Kimi-k1.5?

Gemini 2.0 Flash is developed by Google and Kimi-k1.5 is developed by Moonshot AI.

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