Model Comparison

Gemma 3 27B vs Kimi K2-Instruct-0905Which is better in 2026?

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Verdict: Gemma 3 27B vs Kimi K2-Instruct-0905 — which is better?

Gemma 3 27B (by Google) and Kimi K2-Instruct-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 3 27B outperforms in 1 benchmarks (IFEval), while Kimi K2-Instruct-0905 is better at 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA). Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Choose Gemma 3 27B if…

  • you want predictable pricing at $0.10/M input and $0.20/M output

Choose Kimi K2-Instruct-0905 if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3 27B outperforms in 1 benchmarks (IFEval), while Kimi K2-Instruct-0905 is better at 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA).

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

973.0B diff

Kimi K2-Instruct-0905 has 973.0B more parameters than Gemma 3 27B, making it 3603.7% larger.

Google
Gemma 3 27B
27.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
27.0B
Gemma 3 27B
1000.0B
Kimi K2-Instruct-0905

Context Window

Maximum input and output token capacity

Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Kimi K2-Instruct-0905 uses MIT.

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

Gemma 3 27B

Gemma

Open weights

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 6 months newer than Gemma 3 27B.

Gemma 3 27B

Mar 12, 2025

1.3 years ago

Kimi K2-Instruct-0905

Sep 5, 2025

9 months ago

5mo 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
Larger context window (131,072 tokens)
Supports multimodal inputs
Higher IFEval score (90.4% vs 89.8%)
Moonshot AI
Higher GPQA score (75.1% vs 42.4%)
Higher LiveCodeBench score (53.7% vs 29.7%)
Higher MMLU-Pro score (81.1% vs 67.5%)
Higher SimpleQA score (31.0% vs 10.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about Gemma 3 27B vs Kimi K2-Instruct-0905.

Which is better, Gemma 3 27B or Kimi K2-Instruct-0905?

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Kimi K2-Instruct-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 3 27B compare to Kimi K2-Instruct-0905 in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Gemma 3 27B and Kimi K2-Instruct-0905?

Gemma 3 27B supports 131K tokens and Kimi K2-Instruct-0905 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 27B and Kimi K2-Instruct-0905?

Key differences include multimodal support (yes vs no), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 27B and Kimi K2-Instruct-0905?

Gemma 3 27B is developed by Google and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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