Google: Gemma 3 27B
Analysis Summary
Google: Gemma 3 27B sits in the Efficient tier on our leaderboard, ranked #194 of 544 published models on overall intelligence. At $0.080 input and $0.160 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use, function calling, and vision.
Editorial notes
Gemma 3 27B supports vision and tool use at very low cost, but benchmarks show limited reasoning and coding capability, making it best suited for simple structured or classification tasks.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,..
Capabilities
Architecture Detail
| Instruct Type | gemma |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemma 3 27B stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
google/gemma-3-27b-it
|
| Provider | |
| Release Date | March 12, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.16 | $0.000160 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 9, 2026 8:38 pm