Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 47.9% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than Kimi K2 Instruct. Kimi K2 Instruct is $7.13 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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.
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K 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 Moonshot AI's latest advancement in AI technology.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Jamba 1.5 Large
Kimi K2 Instruct
Context window and performance specifications
Average performance across 42 common benchmarks
Jamba 1.5 Large
Kimi K2 Instruct
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Kimi K2 Instruct
Jamba 1.5 Large
Kimi K2 Instruct
Jamba 1.5 Large
Kimi K2 Instruct
Novita