Comprehensive side-by-side LLM comparison
Nova Pro leads with 4.9% higher average benchmark score. Nova Pro offers 212.9K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Qwen3-235B-A22B-Thinking-2507 is $0.70 cheaper per million tokens. Nova Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K 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. Released in 2024, it represents Amazon's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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.
8 months newer
Nova Pro
Amazon
2024-11-20
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
Nova Pro
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 50 common benchmarks
Nova Pro
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
Nova Pro
Bedrock
Qwen3-235B-A22B-Thinking-2507
Nova Pro
Qwen3-235B-A22B-Thinking-2507
Nova Pro
Qwen3-235B-A22B-Thinking-2507
Novita