Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Jamba 1.5 Mini
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). 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 Mini
AI21 Labs
2024-08-22

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
11 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

Qwen3-235B-A22B-Instruct-2507
Average performance across 2 common benchmarks
Jamba 1.5 Mini

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories
Jamba 1.5 Mini

Qwen3-235B-A22B-Instruct-2507
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

Qwen3-235B-A22B-Instruct-2507
Jamba 1.5 Mini

Qwen3-235B-A22B-Instruct-2507