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

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.

Qwen3 235B A22B
Alibaba
Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. It supports a 256K token context window for handling large documents. The model is available through 4 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.

Gemma 3 4B
2025-03-12

Qwen3 235B A22B
Alibaba
2025-04-29
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 4B

Qwen3 235B A22B
Performance Metrics
Context window and performance specifications

Gemma 3 4B

Qwen3 235B A22B
Average performance across 6 common benchmarks

Gemma 3 4B

Qwen3 235B A22B
Performance comparison across key benchmark categories

Gemma 3 4B

Qwen3 235B A22B
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Qwen3 235B A22B
Together
DeepInfra
Fireworks
Novita

Gemma 3 4B

Qwen3 235B A22B