Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 3.0% higher average benchmark score. Gemma 3 12B offers 6.1K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. 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%). 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 Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Gemma 3 12B
2025-03-12
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Gemma 3 12B
Qwen3 235B A22B
Context window and performance specifications
Average performance across 43 common benchmarks
Gemma 3 12B
Qwen3 235B A22B
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Qwen3 235B A22B
Gemma 3 12B
Qwen3 235B A22B
Gemma 3 12B
Qwen3 235B A22B
DeepInfra
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