Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 4.6% higher average benchmark score. Jamba 1.5 Large offers 379.9K more tokens in context window than GPT-4 Turbo. Jamba 1.5 Large is $30.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. 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.
4 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Jamba 1.5 Large
AI21 Labs
2024-08-22
Cost per million tokens (USD)
GPT-4 Turbo
Jamba 1.5 Large
Context window and performance specifications
Average performance across 12 common benchmarks
GPT-4 Turbo
Jamba 1.5 Large
GPT-4 Turbo
2023-12-31
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
GPT-4 Turbo
Azure
OpenAI
Jamba 1.5 Large
GPT-4 Turbo
Jamba 1.5 Large
GPT-4 Turbo
Jamba 1.5 Large
Bedrock