Model Comparison
Gemma 3 27B vs Kimi K2 0905Which is better in 2026?
Kimi K2 0905 significantly outperforms across most benchmarks. Gemma 3 27B is 8.6x cheaper per token.
Verdict: Gemma 3 27B vs Kimi K2 0905 — which is better?
Gemma 3 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 3 27B outperforms in 0 benchmarks, while Kimi K2 0905 is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU-Pro). Kimi K2 0905 significantly outperforms across most benchmarks.
On price, Gemma 3 27B is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2 0905 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3 27B if…
- cost matters — it's about 8.6x cheaper per token
- 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 4 of 4 shared benchmarks
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 27B outperforms in 0 benchmarks, while Kimi K2 0905 is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU-Pro).
Kimi K2 0905 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 27B ($0.10/1M tokens) is 6.0x cheaper than Kimi K2 0905 ($0.60/1M tokens).
For output processing, Gemma 3 27B ($0.20/1M tokens) is 12.5x cheaper than Kimi K2 0905 ($2.50/1M tokens).
In conclusion, Kimi K2 0905 is more expensive than Gemma 3 27B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 0905 has 973.0B more parameters than Gemma 3 27B, making it 3603.7% larger.
Context Window
Maximum input and output token capacity
Kimi K2 0905 accepts 262,144 input tokens compared to Gemma 3 27B's 131,072 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Gemma 3 27B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 27B supports multimodal inputs, whereas Kimi K2 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
Kimi K2 0905
License
Usage and distribution terms
Gemma 3 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
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while Kimi K2 0905 was released on 2025-09-05.
Kimi K2 0905 is 6 months newer than Gemma 3 27B.
Mar 12, 2025
1.4 years ago
Sep 5, 2025
10 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 27B is available from DeepInfra, Novita. Kimi K2 0905 is available from Novita.
Gemma 3 27B
Kimi K2 0905
Outputs Comparison
Key Takeaways
Gemma 3 27B
View detailsKimi K2 0905
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 3 27B and Kimi K2 0905 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 3 27B vs Kimi K2 0905.