Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Jamba 1.5 Large
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.

Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Qwen3 32B
Alibaba
2025-04-29
8 months newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Qwen3 32B
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Qwen3 32B
Average performance across 1 common benchmarks
Jamba 1.5 Large

Qwen3 32B
Performance comparison across key benchmark categories
Jamba 1.5 Large

Qwen3 32B
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Qwen3 32B
Sambanova
DeepInfra
Novita
Jamba 1.5 Large

Qwen3 32B