Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Jamba 1.5 MiniWhich is better in 2026?

Jamba 1.5 Mini significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed LiteRT (Preview) vs Jamba 1.5 Mini — which is better?

Gemma 3n E2B Instructed LiteRT (Preview) (by Google) and Jamba 1.5 Mini (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Jamba 1.5 Mini is better at 4 benchmarks (ARC-C, GPQA, MMLU, MMLU-Pro). Jamba 1.5 Mini significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed LiteRT (Preview) if…

  • you want the most recent training data — it shipped May 2025

Choose Jamba 1.5 Mini if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Jamba 1.5 Mini is better at 4 benchmarks (ARC-C, GPQA, MMLU, MMLU-Pro).

Jamba 1.5 Mini significantly outperforms across most benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

50.1B diff

Jamba 1.5 Mini has 50.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 2622.5% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
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 E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mon Jul 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Gemma 3n E2B Instructed LiteRT (Preview) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, 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 E2B Instructed LiteRT (Preview)

Gemma

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Jamba 1.5 Mini was released on 2024-08-22.

Gemma 3n E2B Instructed LiteRT (Preview) is 9 months newer than Jamba 1.5 Mini.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.1 years ago

9mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a knowledge cutoff of 2024-06-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemma 3n E2B Instructed LiteRT (Preview) 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 E2B Instructed LiteRT (Preview)

Jun 2024

3 mo newer
Jamba 1.5 Mini

Mar 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
AI21 Labs
Larger context window (256,144 tokens)
Higher ARC-C score (85.7% vs 51.7%)
Higher GPQA score (32.3% vs 24.8%)
Higher MMLU score (69.7% vs 60.1%)
Higher MMLU-Pro score (42.5% vs 40.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Jamba 1.5 Mini
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Jamba 1.5 Mini.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Jamba 1.5 Mini?

Jamba 1.5 Mini significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) 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 E2B Instructed LiteRT (Preview) compare to Jamba 1.5 Mini in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. 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 E2B Instructed LiteRT (Preview) and Jamba 1.5 Mini?

Gemma 3n E2B Instructed LiteRT (Preview) 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 E2B Instructed LiteRT (Preview) and Jamba 1.5 Mini?

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

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Jamba 1.5 Mini?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.

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