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Jamba 1.5 Large vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 7.6% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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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.
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MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Jamba 1.5 Large
Average Score:34.9%(+7.6%)
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MedGemma 4B IT
Average Score:27.3%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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MedGemma 4B IT
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Jamba 1.5 Large
Avg Score:34.9%(+7.6%)
Providers:2
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MedGemma 4B IT
Avg Score:27.3%
Providers:0