Skip to content
llmwaves

Gemma 3 27B

Google · released Mar 12, 2025

Open weightsTool useStructured outputVision

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,...

Specification

Context window
262K
Max output
131K
Knowledge cutoff
Aug 31, 2024
Parameters
27.4B
Licence
gemma
Serving providers
5
Moderated
No
Uptime
99.5%

Intelligence

Not benchmarked

Coding

Coding Index

Agentic

Agentic Index

Output speed

46 t/s

Median across providers

Latency

414ms

Time to first token

Cost per task

$0.02

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table
ModelIntelligence
Claude Opus 563.1
Claude Fable 562.1
GPT-5.6 Sol60.9
Kimi K359.7
Qwen3.8 Max58.1
Claude Opus 4.857.3
Muse Spark 1.256.8

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens
$0.08
Output / 1M tokens
$0.45
Cached input / 1M
$0.04
Blended 3:1
$0.172

One task, estimated

$0.02

Input tokens
50,000
Output tokens
25,000
Profile
Standard

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.