Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 3.2% higher average benchmark score. Jamba 1.5 Large offers 367.6K more tokens in context window than GPT-4o mini. GPT-4o mini is $9.25 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. 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.
1 month newer
GPT-4o mini
OpenAI
2024-07-18
Jamba 1.5 Large
AI21 Labs
2024-08-22
Cost per million tokens (USD)
GPT-4o mini
Jamba 1.5 Large
Context window and performance specifications
Average performance across 15 common benchmarks
GPT-4o mini
Jamba 1.5 Large
GPT-4o mini
2023-10-01
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
GPT-4o mini
Azure
Jamba 1.5 Large
GPT-4o mini
Jamba 1.5 Large
GPT-4o mini
Jamba 1.5 Large
Bedrock