Model Comparison

Gemma 3n E4B vs Jamba 1.5 Mini

Jamba 1.5 Mini significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E4B outperforms in 0 benchmarks, while Jamba 1.5 Mini is better at 1 benchmark (ARC-C).

Jamba 1.5 Mini significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

44.0B diff

Jamba 1.5 Mini has 44.0B more parameters than Gemma 3n E4B, making it 550.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
8.0B
Gemma 3n E4B
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Jamba 1.5 Mini uses Jamba Open Model License.

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

Gemma 3n E4B

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Jamba 1.5 Mini was released on 2024-08-22.

Gemma 3n E4B is 10 months newer than Jamba 1.5 Mini.

Gemma 3n E4B

Jun 26, 2025

10 months ago

10mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a knowledge cutoff of 2024-06-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemma 3n E4B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Gemma 3n E4B

Jun 2024

3 mo newer
Jamba 1.5 Mini

Mar 2024

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
AI21 Labs
Larger context window (256,144 tokens)
Has open weights
Higher ARC-C score (85.7% vs 61.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Gemma 3n E4B vs Jamba 1.5 Mini.

Which is better, Gemma 3n E4B or Jamba 1.5 Mini?

Jamba 1.5 Mini significantly outperforms across most benchmarks. Gemma 3n E4B is made by Google and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E4B compare to Jamba 1.5 Mini in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

What are the context window sizes for Gemma 3n E4B and Jamba 1.5 Mini?

Gemma 3n E4B supports an unknown number of tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B and Jamba 1.5 Mini?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Jamba 1.5 Mini?

Gemma 3n E4B is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.