Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 15.7% higher average benchmark score. Jamba 1.5 Large offers 376.0K more tokens in context window than Grok-3 Mini. Grok-3 Mini is $9.20 cheaper per million tokens. Grok-3 Mini supports multimodal inputs. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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 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.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Grok-3 Mini
xAI
2025-02-17
Cost per million tokens (USD)
Grok-3 Mini
Jamba 1.5 Large
Context window and performance specifications
Average performance across 11 common benchmarks
Grok-3 Mini
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Grok-3 Mini
2024-11-17
Available providers and their performance metrics
Grok-3 Mini
xAI
Jamba 1.5 Large
Grok-3 Mini
Jamba 1.5 Large
Grok-3 Mini
Jamba 1.5 Large
Bedrock