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Gemini 2.0 Flash Thinking vs Kimi K3.1 Pro

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 16.1.

Google · Moonshot AI · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 16.1, ranking #5 overall.

In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro 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 Thinking

  • you are already invested in the Google ecosystem

Choose Kimi K3.1 Pro

  • overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Kimi K3.1 Pro
Moonshot AI
Core performance indexes
LLM Stats Score
16.1
#255
55.5
#5
Reasoning
16.4
#248
54.3
#6
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,048,576

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 30 for Kimi K3.1 Pro

1 shared

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while Kimi K3.1 Pro is better at 1 benchmark (GPQA).

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Fri Oct 30 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 K3.1 Pro specifies input context (1,048,576 tokens). Only Kimi K3.1 Pro specifies output context (1,048,576 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Kimi K3.1 Pro support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Kimi K3.1 Pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Kimi K3.1 Pro was released on 2026-10-23.

Kimi K3.1 Pro is 21 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.8 years ago

Kimi K3.1 Pro

Oct 23, 2026

2 days ago

1.8yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Kimi K3.1 Pro'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 K3.1 Pro's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Kimi K3.1 Pro

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Kimi K3.1 Pro
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Kimi K3.1 Pro.

Which is better, Gemini 2.0 Flash Thinking or Kimi K3.1 Pro?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 16.1. Gemini 2.0 Flash Thinking is made by Google and Kimi K3.1 Pro 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 K3.1 Pro in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Kimi K3.1 Pro?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Kimi K3.1 Pro supports 1.0M 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 K3.1 Pro?

Key differences include LLM Stats Score (16.1 vs 55.5), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Kimi K3.1 Pro?

Gemini 2.0 Flash Thinking is developed by Google and Kimi K3.1 Pro is developed by Moonshot AI.

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