Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 38.9% higher average benchmark score. Jamba 1.5 Large offers 124.9K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Qwen3-235B-A22B-Thinking-2507 is $6.70 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs'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.
11 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
Jamba 1.5 Large
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 31 common benchmarks
Jamba 1.5 Large
Qwen3-235B-A22B-Thinking-2507
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Jamba 1.5 Large
Qwen3-235B-A22B-Thinking-2507
Jamba 1.5 Large
Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita