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Gemini Diffusion vs Kimi K2 Base

Kimi K2 Base leads the LLM Stats Score 13.5 to 0.9.

Google · Moonshot AI · Updated for 2026

Which is better?

Kimi K2 Base leads the overall LLM Stats Score 13.5 to 0.9, ranking #244 overall.

In the 1 individual benchmarks reported for both models, Kimi K2 Base 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 Diffusion

  • you are already invested in the Google ecosystem

Choose Kimi K2 Base

  • overall performance matters — it scores 13.5 and ranks #244 on LLM Stats
  • your work emphasizes reasoning and coding — 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 Jul 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
0.9
#323
13.5
#244
0.9
#315
12.6
#242
2.8
#221
10.6
#163
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Individual benchmarks

10 reported for Gemini Diffusion · 13 for Kimi K2 Base

1 shared

Gemini Diffusion outperforms in 0 benchmarks, while Kimi K2 Base is better at 1 benchmark (GPQA).

Kimi K2 Base significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Kimi K2 Base uses MIT.

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

Gemini Diffusion

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 2 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.3 years ago

Kimi K2 Base

Jul 11, 2025

1.2 years ago

1mo newer

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?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini Diffusion and Kimi K2 Base side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Kimi K2 Base.

Which is better, Gemini Diffusion or Kimi K2 Base?

Kimi K2 Base leads the LLM Stats Score 13.5 to 0.9. Gemini Diffusion is made by Google and Kimi K2 Base 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 Diffusion compare to Kimi K2 Base in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the main differences between Gemini Diffusion and Kimi K2 Base?

Key differences include LLM Stats Score (0.9 vs 13.5), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Kimi K2 Base?

Gemini Diffusion is developed by Google and Kimi K2 Base is developed by Moonshot AI.