Model Comparison

Jamba 1.5 Large vs MedGemma 4B IT

Comparing Jamba 1.5 Large and MedGemma 4B IT across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Jamba 1.5 Large and MedGemma 4B IT don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

393.7B diff

Jamba 1.5 Large has 393.7B more parameters than MedGemma 4B IT, making it 9155.8% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
398.0B
Jamba 1.5 Large
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas Jamba 1.5 Large does not.

MedGemma 4B IT can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while MedGemma 4B IT uses Health AI Developer Foundations terms of use.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Large

Jamba Open Model License

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while MedGemma 4B IT was released on 2025-05-20.

MedGemma 4B IT is 9 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

MedGemma 4B IT

May 20, 2025

1.0 years ago

9mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while MedGemma 4B IT's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without MedGemma 4B IT's cutoff date.

Jamba 1.5 Large

Mar 2024

MedGemma 4B IT

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Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Google
MedGemma 4B IT

FAQ

Common questions about Jamba 1.5 Large vs MedGemma 4B IT.

Which is better, Jamba 1.5 Large or MedGemma 4B IT?

Jamba 1.5 Large (AI21 Labs) and MedGemma 4B IT (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Jamba 1.5 Large compare to MedGemma 4B IT in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%.

What are the context window sizes for Jamba 1.5 Large and MedGemma 4B IT?

Jamba 1.5 Large supports 256K tokens and MedGemma 4B IT supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Large and MedGemma 4B IT?

Key differences include multimodal support (no vs yes), licensing (Jamba Open Model License vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and MedGemma 4B IT?

Jamba 1.5 Large is developed by AI21 Labs and MedGemma 4B IT is developed by Google.