Model Comparison

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

Google

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Alibaba

Qwen3 30B A3B

Alibaba

Qwen3 30B A3B is a language model developed by Alibaba. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

Alibaba

Qwen3 30B A3B

Alibaba

2025-04-29

10 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 27B

Max Context:-
Parameters:27.2B
Alibaba

Qwen3 30B A3B

Larger context
Max Context:256.0K
Parameters:30.5B

Performance comparison across key benchmark categories

Google

Gemma 2 27B

general
70.0%
code
56.5%
Alibaba

Qwen3 30B A3B

general
+4.9%
74.9%
code
+6.1%
62.6%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
Alibaba

Qwen3 30B A3B

3 providers

DeepInfra

Throughput: 82.57 tok/s
Latency: 0.84ms

Fireworks

Throughput: 122.4 tok/s
Latency: 0.66ms

Novita

Throughput: 88.84 tok/s
Latency: 0.73ms
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
Alibaba

Qwen3 30B A3B

Avg Score:0.0%
Providers:3