Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 43.9% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Overall, Jamba 1.5 Mini 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 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.
10 months newer
Jamba 1.5 Mini
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 Mini
Context window and performance specifications
Average performance across 9 common benchmarks
Devstral Small 1.1
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Jamba 1.5 Mini
Devstral Small 1.1
Jamba 1.5 Mini
Devstral Small 1.1
Jamba 1.5 Mini
Bedrock