Gemma 3 27B
gemma-3-27b-itGemma 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,... Built by Google.
Prices updated
Input price
$0.08
per 1M tokens · Standard
Output price
$0.45
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
118K
tokens
Input formats
Output formats
Gemma 3 27B price history
2 price records since 9/25/2026
Gemma 3 27B cost calculator
$3.85/month
Standard pricing
Overview
What is Gemma 3 27B?
Gemma 3 27B is a text & reasoning and vision model from Google. 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,... Its 131K context window and $0.08 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Gemma 3 27B benchmarks & speed
How Gemma 3 27B scores on standardized evaluations, and where it lands among every model we track.
4.9
Intelligence Index
Reasoning
GPQA Diamond
42.8%
Graduate-level scientific reasoning · top 91%
HLE
4.4%
Humanity's Last Exam · top 84%
Coding
SciCode
23.3%
Python for scientific computing · top 97%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemma 3 27B pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.08
Per 1M tokens
Cached input · Standard
$0.04
Per 1M tokens
Capabilities
Gemma 3 27B Tools
Tools available when using Gemma 3 27B through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.08 per million tokens suits high-volume workloads.
- A 131K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- The 131K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider