Model Comparison

Gemma 3n E4B Instructed vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Large is 7.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E4B 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.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Large costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 10.0x more expensive than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 5.0x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Jamba 1.5 Large.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat May 09 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
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Model Size

Parameter count comparison

390.0B diff

Jamba 1.5 Large has 390.0B more parameters than Gemma 3n E4B Instructed, making it 4875.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
8.0B
Gemma 3n E4B Instructed
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B 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 E4B Instructed

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

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

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

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

10mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

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

Gemma 3n E4B 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 E4B Instructed

Jun 2024

3 mo newer
Jamba 1.5 Large

Mar 2024

Provider Availability

Gemma 3n E4B Instructed is available from Together. Jamba 1.5 Large is available from Bedrock, Google.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
AI21 Labs
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (36.9% vs 23.7%)
Higher MMLU score (81.2% vs 64.9%)
Higher MMLU-Pro score (53.5% vs 50.6%)

Detailed Comparison

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

FAQ

Common questions about Gemma 3n E4B Instructed vs Jamba 1.5 Large.

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

Jamba 1.5 Large significantly outperforms across most benchmarks. Gemma 3n E4B 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 benchmark scores, pricing, and capabilities above.

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

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is Gemma 3n E4B Instructed cheaper than Jamba 1.5 Large?

Jamba 1.5 Large is 10.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

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

Gemma 3n E4B Instructed supports 32K 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 E4B Instructed and Jamba 1.5 Large?

Key differences include context window (32K vs 256K), input pricing ($20.00 vs $2.00/M), 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 Instructed and Jamba 1.5 Large?

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