Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 4.0% higher average benchmark score. Gemma 3 4B offers 131.1K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Gemma 3 4B is $1.59 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
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%), AIME 2025 (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.
6 months newer
Gemma 3 4B
2025-03-12
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Context window and performance specifications
Average performance across 46 common benchmarks
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Qwen3-Next-80B-A3B-Thinking
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Gemma 3 4B
Qwen3-Next-80B-A3B-Thinking
Novita