Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3 27B

Google

Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

Google

Gemma 3 27B

Google

2025-03-12

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 27B

$39.70 cheaper
Input:$0.10
Output:$0.20
OpenAI

GPT-4 Turbo

Input:$10.00
Output:$30.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3 27B

Larger context
Max Context:262.1K
Parameters:27.0B
OpenAI

GPT-4 Turbo

Max Context:132.1K

Average performance across 3 common benchmarks

Google

Gemma 3 27B

+3.8%
Average Score:73.1%
OpenAI

GPT-4 Turbo

Average Score:69.2%

Performance comparison across key benchmark categories

Google

Gemma 3 27B

code
73.4%
math
78.2%
general
53.5%
OpenAI

GPT-4 Turbo

code
+13.7%
87.1%
math
+2.3%
80.5%
general
+20.0%
73.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 27B

2 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms

Novita

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3 27B

+3.8%
Avg Score:73.1%
Providers:2
OpenAI

GPT-4 Turbo

Avg Score:69.2%
Providers:2