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Grok-4 Heavy vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 3.6% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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.
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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 Heavy
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Grok-4 Heavy
Average Score:36.7%
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Jamba 1.5 Large
Average Score:40.3%(+3.6%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Grok-4 Heavy
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-4 Heavy
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
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Grok-4 Heavy
Avg Score:36.7%
Providers:0
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Jamba 1.5 Large
Avg Score:40.3%(+3.6%)
Providers:2