Google: Gemma 3 27B

Text input Image input Text output Free Option
Author's Description

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,...

Key Specifications
Cost
$$
Context
131K
Parameters
27B
Released
Mar 11, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Seed Frequency Penalty Top P Min P Response Format Temperature Stop Presence Penalty Max Tokens
Features

This model supports the following features:

Response Format
Performance Summary

Google's Gemma 3 27B, released on March 11, 2025, is a multimodal AI model supporting vision-language input and text outputs, with a substantial context length of 131072 tokens and multilingual capabilities across over 140 languages. It demonstrates competitive response times, ranking in the 53rd percentile across benchmarks, and offers cost-effective solutions, placing in the 80th percentile for pricing. A standout feature is its exceptional reliability, achieving a 100% success rate across all evaluated benchmarks, indicating consistent and stable performance. In terms of specific performance, Gemma 3 27B shows strong capabilities in Ethics, achieving perfect 100% accuracy, making it the most accurate model at its price point and among models of similar speed. It also performs well in General Knowledge (98.0% accuracy) and Coding (89.0% accuracy), ranking in the 52nd and 64th percentiles respectively. While its Mathematics performance is moderate at 84.0% accuracy, its primary weakness lies in Instruction Following, where it scored a low 8.0% accuracy, placing it in the 19th percentile. Reasoning and Email Classification show average performance. Overall, Gemma 3 27B is a reliable and cost-efficient model with notable strengths in ethical reasoning, general knowledge, and coding, though its instruction-following capabilities require further development.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.08
Completion $0.16

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
DeepInfra
DeepInfra | google/gemma-3-27b-it 131K $0.08 / 1M tokens $0.16 / 1M tokens
InoCloud
InoCloud | google/gemma-3-27b-it 131K $0.08 / 1M tokens $0.16 / 1M tokens
Nebius
Nebius | google/gemma-3-27b-it 110K $0.08 / 1M tokens $0.16 / 1M tokens
Kluster
Kluster | google/gemma-3-27b-it 64K $0.08 / 1M tokens $0.16 / 1M tokens
Parasail
Parasail | google/gemma-3-27b-it 131K $0.08 / 1M tokens $0.45 / 1M tokens
Novita
Novita | google/gemma-3-27b-it 32K $0.08 / 1M tokens $0.16 / 1M tokens
InferenceNet
InferenceNet | google/gemma-3-27b-it 128K $0.08 / 1M tokens $0.16 / 1M tokens
NCompass
NCompass | google/gemma-3-27b-it 32K $0.08 / 1M tokens $0.16 / 1M tokens
Chutes
Chutes | google/gemma-3-27b-it 128K $0.08 / 1M tokens $0.16 / 1M tokens
Phala
Phala | google/gemma-3-27b-it 53K $0.11 / 1M tokens $0.4 / 1M tokens
NCompass
NCompass | google/gemma-3-27b-it 131K $0.08 / 1M tokens $0.16 / 1M tokens
DeepInfra
DeepInfra | google/gemma-3-27b-it 131K $0.08 / 1M tokens $0.16 / 1M tokens
Novita
Novita | google/gemma-3-27b-it 98K $0.119 / 1M tokens $0.2 / 1M tokens
GMICloud
GMICloud | google/gemma-3-27b-it 131K $0.08 / 1M tokens $0.16 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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