Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 52.2% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $9.60 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.
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.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Jamba 1.5 Large
Context window and performance specifications
Average performance across 9 common benchmarks
Devstral Small 1.1
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Jamba 1.5 Large
Devstral Small 1.1
Jamba 1.5 Large
Devstral Small 1.1
Jamba 1.5 Large
Bedrock