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Gemini 2.0 Flash Thinking vs Kimi K2 0905

Gemini 2.0 Flash Thinking and Kimi K2 0905 are closely matched at 16.7 and 21.6 on the LLM Stats Score.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and Kimi K2 0905 are closely matched on the overall LLM Stats Score at 16.7 and 21.6.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose Kimi K2 0905

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

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Kimi K2 0905
Moonshot AI
Core performance indexes
LLM Stats Score
16.7
#225
21.6
#191
Reasoning
17.0
#218
22.0
#179
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.60 / M
Output price
— / M
$2.50 / M
Context window
—
262,144

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 6 for Kimi K2 0905

2 shared

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (AIME 2024), while Kimi K2 0905 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sun Sep 27 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Sun Sep 27 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Kimi K2 0905 does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Kimi K2 0905

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 Thinking

Proprietary

Closed source

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Kimi K2 0905 was released on 2025-09-05.

Kimi K2 0905 is 8 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Kimi K2 0905

Sep 5, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Kimi K2 0905's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Kimi K2 0905's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Kimi K2 0905

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Kimi K2 0905 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Kimi K2 0905
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Kimi K2 0905.

Which is better, Gemini 2.0 Flash Thinking or Kimi K2 0905?

Gemini 2.0 Flash Thinking and Kimi K2 0905 are closely matched on the LLM Stats Score at 16.7 and 21.6. Gemini 2.0 Flash Thinking is made by Google and Kimi K2 0905 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 Thinking compare to Kimi K2 0905 in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Kimi K2 0905?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Kimi K2 0905 supports 262K 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 Thinking and Kimi K2 0905?

Key differences include LLM Stats Score (16.7 vs 21.6), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Kimi K2 0905?

Gemini 2.0 Flash Thinking is developed by Google and Kimi K2 0905 is developed by Moonshot AI.

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