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-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-01-10
Gemma 3 4B
2025-03-12
2 months newer
Pricing Comparison
Cost per million tokens (USD)
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Performance Metrics
Context window and performance specifications
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Average performance across 3 common benchmarks
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Performance comparison across key benchmark categories
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Qwen3-Next-80B-A3B-Thinking
Novita
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking