Model Comparison

Gemma 2 9B vs Jamba 1.5 Mini

Jamba 1.5 Mini shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 9B outperforms in 1 benchmarks (MMLU), while Jamba 1.5 Mini is better at 2 benchmarks (ARC-C, GSM8k).

Jamba 1.5 Mini shows notably better performance in the majority of benchmarks.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

42.8B diff

Jamba 1.5 Mini has 42.8B more parameters than Gemma 2 9B, making it 462.8% larger.

Google
Gemma 2 9B
9.2Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
9.2B
Gemma 2 9B
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 2 9B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Wed May 06 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B 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 2 9B

Gemma

Open weights

Jamba 1.5 Mini

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 Mini was released on 2024-08-22.

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

Gemma 2 9B

Jun 27, 2024

1.9 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

1mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini 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 Mini'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 Mini

Mar 2024

Outputs Comparison

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Key Takeaways

Google
Higher MMLU score (71.3% vs 69.7%)
AI21 Labs
Larger context window (256,144 tokens)
Higher ARC-C score (85.7% vs 68.4%)
Higher GSM8k score (75.8% vs 68.6%)

Detailed Comparison

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

FAQ

Common questions about Gemma 2 9B vs Jamba 1.5 Mini.

Which is better, Gemma 2 9B or Jamba 1.5 Mini?

Jamba 1.5 Mini shows notably better performance in the majority of benchmarks. Gemma 2 9B 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 2 9B compare to Jamba 1.5 Mini in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. 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 2 9B and Jamba 1.5 Mini?

Gemma 2 9B 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 2 9B and Jamba 1.5 Mini?

Key differences include licensing (Gemma vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Jamba 1.5 Mini?

Gemma 2 9B is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.