Comprehensive side-by-side LLM comparison
Grok-4 Heavy leads with 2.2% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Jamba 1.5 Mini is available on 2 providers. Both models have their strengths depending on your specific coding needs.
xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). 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 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 Mini
AI21 Labs
2024-08-22
Grok-4 Heavy
xAI
2025-07-09
Context window and performance specifications
Average performance across 13 common benchmarks
Grok-4 Heavy
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Grok-4 Heavy
2024-12-31
Available providers and their performance metrics
Grok-4 Heavy
Jamba 1.5 Mini
Bedrock
Grok-4 Heavy
Jamba 1.5 Mini
Grok-4 Heavy
Jamba 1.5 Mini