Comprehensive side-by-side LLM comparison
Grok-2 leads with 6.8% higher average benchmark score. Jamba 1.5 Large offers 376.0K more tokens in context window than Grok-2. Jamba 1.5 Large is $2.00 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, Grok-2 is the stronger choice for coding tasks.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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 xAI'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.
9 days newer
Grok-2
xAI
2024-08-13
Jamba 1.5 Large
AI21 Labs
2024-08-22
Cost per million tokens (USD)
Grok-2
Jamba 1.5 Large
Context window and performance specifications
Average performance across 13 common benchmarks
Grok-2
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Grok-2
xAI
Jamba 1.5 Large
Grok-2
Jamba 1.5 Large
Grok-2
Jamba 1.5 Large
Bedrock