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Gemini 4 Carbon vs Kimi K2-Thinking-0905

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 35.4.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 35.4, ranking #2 overall.

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

Choose Gemini 4 Carbon

  • overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Kimi K2-Thinking-0905

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Carbon
Google
Kimi K2-Thinking-0905
Moonshot AI
Core performance indexes
LLM Stats Score
59.0
#2
35.4
#108
Reasoning
54.9
#5
35.6
#102
Coding
48.1
#3
20.5
#119
Agents
46.0
#2
15.3
#113
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.47 / M
Output price
— / M
$2.00 / M
Context window
—
262,144

Individual benchmarks

16 reported for Gemini 4 Carbon · 21 for Kimi K2-Thinking-0905

No common benchmarks found

Gemini 4 Carbon and Kimi K2-Thinking-0905don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Carbon supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

Gemini 4 Carbon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Carbon

Text
Images
Audio
Video

Kimi K2-Thinking-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon is licensed under a proprietary license, while Kimi K2-Thinking-0905 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 4 Carbon

Proprietary

Closed source

Kimi K2-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while Kimi K2-Thinking-0905 was released on 2025-09-05.

Gemini 4 Carbon is 14 months newer than Kimi K2-Thinking-0905.

Gemini 4 Carbon

Oct 28, 2026

-2 days ago

1.1yr newer
Kimi K2-Thinking-0905

Sep 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Carbon and Kimi K2-Thinking-0905 side-by-side, then vote on the output you prefer.

Gemini 4 Carbon
✓ Preferred
Kimi K2-Thinking-0905
Open in Playground

FAQ

Common questions about Gemini 4 Carbon vs Kimi K2-Thinking-0905.

Which is better, Gemini 4 Carbon or Kimi K2-Thinking-0905?

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 35.4. Gemini 4 Carbon is made by Google and Kimi K2-Thinking-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 4 Carbon compare to Kimi K2-Thinking-0905 in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%.

What are the context window sizes for Gemini 4 Carbon and Kimi K2-Thinking-0905?

Gemini 4 Carbon supports an unknown number of tokens and Kimi K2-Thinking-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 4 Carbon and Kimi K2-Thinking-0905?

Key differences include LLM Stats Score (59.0 vs 35.4), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Carbon and Kimi K2-Thinking-0905?

Gemini 4 Carbon is developed by Google and Kimi K2-Thinking-0905 is developed by Moonshot AI.

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