Model Comparison

Gemma 2 9B vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 3 benchmarks (ARC-C, GSM8k, MMLU).

Jamba 1.5 Large significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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

388.8B diff

Jamba 1.5 Large has 388.8B more parameters than Gemma 2 9B, making it 4207.4% larger.

Google
Gemma 2 9B
9.2Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
9.2B
Gemma 2 9B
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 2 9B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, 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 2 9B

Gemma

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 2 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.8 years ago

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

1mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Gemma 2 9B'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 Gemma 2 9B's cutoff date.

Gemma 2 9B

—

Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Key Takeaways

Google
AI21 Labs
Larger context window (256,000 tokens)
Higher ARC-C score (93.0% vs 68.4%)
Higher GSM8k score (87.0% vs 68.6%)
Higher MMLU score (81.2% vs 71.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Gemma 2 9B vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks. Gemma 2 9B 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.
Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Gemma 2 9B 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.
Key differences include licensing (Gemma vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Gemma 2 9B is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.