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Gemma 3n E2B Instructed vs Jamba 1.5 Large

Jamba 1.5 Large leads the LLM Stats Score 1.1 to -10.4.

Google · AI21 Labs · Updated for 2026

Which is better?

Jamba 1.5 Large leads the overall LLM Stats Score 1.1 to -10.4, ranking #310 overall.

In the 3 individual benchmarks reported for both models, Jamba 1.5 Large wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed

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

Choose Jamba 1.5 Large

  • overall performance matters — it scores 1.1 and ranks #310 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
Jamba 1.5 Large
AI21 Labs
Core performance indexes
LLM Stats Score
-10.4
#356
1.1
#310
Reasoning
-10.8
#347
1.1
#300
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 3n E2B Instructed
Jamba 1.5 Large
Math
-7.6#315
4.9#272
Finance
-9.3#215
5.8#159
Legal
-9.3#199
5.8#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E2B Instructed · 8 for Jamba 1.5 Large

3 shared

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Jamba 1.5 Large significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

390.0B diff

Jamba 1.5 Large has 390.0B more parameters than Gemma 3n E2B Instructed, making it 4875.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
8.0B
Gemma 3n E2B Instructed
398.0B
Jamba 1.5 Large

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).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E2B Instructed supports multimodal inputs, whereas Jamba 1.5 Large does not.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Jamba 1.5 Large 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

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Jamba 1.5 Large was released on 2024-08-22.

Gemma 3n E2B Instructed is 10 months newer than Jamba 1.5 Large.

Gemma 3n E2B Instructed

Jun 26, 2025

1.2 years ago

10mo newer
Jamba 1.5 Large

Aug 22, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a knowledge cutoff of 2024-06-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Gemma 3n E2B Instructed 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 Large (2024-03-05).

Gemma 3n E2B Instructed

Jun 2024

3 mo newer
Jamba 1.5 Large

Mar 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Gemma 3n E2B Instructed
✓ Preferred
Jamba 1.5 Large
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs Jamba 1.5 Large.

Which is better, Gemma 3n E2B Instructed or Jamba 1.5 Large?

Jamba 1.5 Large leads the LLM Stats Score 1.1 to -10.4. Gemma 3n E2B Instructed is made by Google and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E2B Instructed compare to Jamba 1.5 Large in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for Gemma 3n E2B Instructed and Jamba 1.5 Large?

Gemma 3n E2B Instructed supports an unknown number of tokens and Jamba 1.5 Large 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 and Jamba 1.5 Large?

Key differences include LLM Stats Score (-10.4 vs 1.1), 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 E2B Instructed and Jamba 1.5 Large?

Gemma 3n E2B Instructed is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.

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