Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 17.7% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $11.05 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
21 days newer
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Qwen3 235B A22B
Context window and performance specifications
Average performance across 36 common benchmarks
Gemini 2.5 Pro
Qwen3 235B A22B
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Qwen3 235B A22B
Gemini 2.5 Pro
Qwen3 235B A22B
Qwen3 235B A22B
DeepInfra
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