Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 24.4% higher average benchmark score. Jamba 1.5 Large offers 446.5K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $9.65 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, Jamba 1.5 Large 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
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Cost per million tokens (USD)
Jamba 1.5 Large
QwQ-32B-Preview
Context window and performance specifications
Average performance across 11 common benchmarks
Jamba 1.5 Large
QwQ-32B-Preview
Jamba 1.5 Large
2024-03-05
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Jamba 1.5 Large
QwQ-32B-Preview
Jamba 1.5 Large
QwQ-32B-Preview
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
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