Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 7.1% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than GPT OSS 120B. GPT OSS 120B is $9.46 cheaper per million tokens. GPT OSS 120B is available on 5 providers. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
OpenAI
GPT OSS 120B is a language model developed by OpenAI. It achieves strong performance with an average score of 61.7% across 7 benchmarks. It excels particularly in MMLU (90.0%), CodeForces (87.4%), GPQA (80.1%). It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI'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.
11 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
GPT OSS 120B
OpenAI
2025-08-05
Cost per million tokens (USD)
GPT OSS 120B
Jamba 1.5 Large
Context window and performance specifications
Average performance across 13 common benchmarks
GPT OSS 120B
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
GPT OSS 120B
DeepInfra
Groq
Novita
OpenAI
ZeroEval
GPT OSS 120B
Jamba 1.5 Large
GPT OSS 120B
Jamba 1.5 Large
Jamba 1.5 Large
Bedrock