Comprehensive side-by-side LLM comparison
GPT-4o leads with 7.4% higher average benchmark score. Jamba 1.5 Large offers 379.9K more tokens in context window than GPT-4o. Jamba 1.5 Large is $2.50 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, GPT-4o is the stronger choice for coding tasks.
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
3 months newer
GPT-4o
OpenAI
2024-05-13
Jamba 1.5 Large
AI21 Labs
2024-08-22
Cost per million tokens (USD)
GPT-4o
Jamba 1.5 Large
Context window and performance specifications
Average performance across 13 common benchmarks
GPT-4o
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
GPT-4o
Azure
OpenAI
Jamba 1.5 Large
GPT-4o
Jamba 1.5 Large
GPT-4o
Jamba 1.5 Large
Bedrock