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.

Mistral Small 3.2 24B Instruct
Mistral AI
Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
10 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Mistral Small 3.2 24B Instruct
Average performance across 5 common benchmarks
Jamba 1.5 Large

Mistral Small 3.2 24B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large

Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct
2023-10-01
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Mistral Small 3.2 24B Instruct
Jamba 1.5 Large

Mistral Small 3.2 24B Instruct