Model Comparison

Gemma 2 27B vs Kimi K2 0905Which is better in 2026?

Kimi K2 0905 significantly outperforms across most benchmarks.

Verdict: Gemma 2 27B vs Kimi K2 0905 — which is better?

Gemma 2 27B (by Google) and Kimi K2 0905 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 2 27B outperforms in 0 benchmarks, while Kimi K2 0905 is better at 3 benchmarks (HumanEval, MATH, MMLU). Kimi K2 0905 significantly outperforms across most benchmarks.

Choose Gemma 2 27B if…

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

Choose Kimi K2 0905 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 27B outperforms in 0 benchmarks, while Kimi K2 0905 is better at 3 benchmarks (HumanEval, MATH, MMLU).

Kimi K2 0905 significantly outperforms across most benchmarks.

Fri Jun 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

972.8B diff

Kimi K2 0905 has 972.8B more parameters than Gemma 2 27B, making it 3576.5% larger.

Google
Gemma 2 27B
27.2Bparameters
Moonshot AI
Kimi K2 0905
1.0Tparameters
27.2B
Gemma 2 27B
1000.0B
Kimi K2 0905

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
Gemma 2 27B
Input- tokens
Output- tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Fri Jun 12 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Kimi K2 0905 uses a proprietary license.

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

Gemma 2 27B

Gemma

Open weights

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Kimi K2 0905 was released on 2025-09-05.

Kimi K2 0905 is 15 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.0 years ago

Kimi K2 0905

Sep 5, 2025

9 months ago

1.2yr 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→

Key Takeaways

Google
Has open weights
Moonshot AI
Larger context window (262,144 tokens)
Higher HumanEval score (94.5% vs 51.8%)
Higher MATH score (89.1% vs 42.3%)
Higher MMLU score (90.2% vs 75.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 27B
Moonshot AI
Kimi K2 0905

FAQ

Common questions about Gemma 2 27B vs Kimi K2 0905.

Which is better, Gemma 2 27B or Kimi K2 0905?

Kimi K2 0905 significantly outperforms across most benchmarks. Gemma 2 27B is made by Google and Kimi K2 0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 27B compare to Kimi K2 0905 in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 Gemma 2 27B and Kimi K2 0905?

Gemma 2 27B 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 Gemma 2 27B and Kimi K2 0905?

Key differences include licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Kimi K2 0905?

Gemma 2 27B is developed by Google and Kimi K2 0905 is developed by Moonshot AI.

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