Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 5.9% higher average benchmark score. Jamba 1.5 Large offers 248.0K more tokens in context window than Grok-4. Jamba 1.5 Large is $8.00 cheaper per million tokens. Grok-4 supports multimodal inputs. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K 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 2025, 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.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Jamba 1.5 Large
Context window and performance specifications
Average performance across 14 common benchmarks
Grok-4
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Jamba 1.5 Large
Grok-4
Jamba 1.5 Large
Grok-4
Jamba 1.5 Large
Bedrock