Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 37.5% 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 was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
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 2 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