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Gemma 2 27B vs Jamba 1.5 Mini

Gemma 2 27B and Jamba 1.5 Mini are closely matched at -0.6 and -5.5 on the LLM Stats Score.

Google · AI21 Labs · Updated for 2026

Which is better?

Gemma 2 27B and Jamba 1.5 Mini are closely matched on the overall LLM Stats Score at -0.6 and -5.5.

In the 3 individual benchmarks reported for both models, Jamba 1.5 Mini wins 2; 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 2 27B

  • you are already invested in the Google ecosystem

Choose Jamba 1.5 Mini

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2024

At a glance

The differences that matter most.

Core performance indexes
-0.6
#318
-5.5
#347
-1.0
#314
-5.5
#337
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$0.20 / M
Output price
— / M
$0.40 / M
Context window
256,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 2 27B
Jamba 1.5 Mini
-0.3#289
-3.6#306
2.5#164
-3.4#185
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 8 for Jamba 1.5 Mini

3 shared

Gemma 2 27B 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.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

24.8B diff

Jamba 1.5 Mini has 24.8B more parameters than Gemma 2 27B, making it 91.2% larger.

Google
Gemma 2 27B
27.2Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
27.2B
Gemma 2 27B
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 27B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Thu Sep 03 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B 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 27B

Gemma

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 2 27B 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 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

Jamba 1.5 Mini

Aug 22, 2024

2.0 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 27B'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 27B's cutoff date.

Gemma 2 27B

Jamba 1.5 Mini

Mar 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 27B and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Jamba 1.5 Mini
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Jamba 1.5 Mini.

Which is better, Gemma 2 27B or Jamba 1.5 Mini?

Gemma 2 27B and Jamba 1.5 Mini are closely matched on the LLM Stats Score at -0.6 and -5.5. Gemma 2 27B is made by Google and Jamba 1.5 Mini 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 2 27B compare to Jamba 1.5 Mini in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 27B and Jamba 1.5 Mini?

Gemma 2 27B 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 27B and Jamba 1.5 Mini?

Key differences include LLM Stats Score (-0.6 vs -5.5), licensing (Gemma vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Jamba 1.5 Mini?

Gemma 2 27B is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.