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Gemma 2 27B vs Jamba 1.5 Large

Gemma 2 27B and Jamba 1.5 Large are closely matched at -0.2 and 1.6 on the LLM Stats Score.

Google · AI21 Labs · Updated for 2026

Which is better?

Gemma 2 27B and Jamba 1.5 Large are closely matched on the overall LLM Stats Score at -0.2 and 1.6.

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 2 27B

  • you are already invested in the Google ecosystem

Choose Jamba 1.5 Large

  • you value its reported benchmark strengths — it wins 3 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
-0.2
#308
1.6
#300
-0.6
#305
1.6
#291
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

2 shared
Index
Gemma 2 27B
Jamba 1.5 Large
-0.2#282
5.0#264
2.5#158
5.9#141
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

3 shared

Gemma 2 27B 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.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

370.8B diff

Jamba 1.5 Large has 370.8B more parameters than Gemma 2 27B, making it 1363.2% larger.

Google
Gemma 2 27B
27.2Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
27.2B
Gemma 2 27B
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 27B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri Aug 28 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B 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 27B

Gemma

Open weights

Jamba 1.5 Large

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 Large was released on 2024-08-22.

Jamba 1.5 Large is 2 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

Jamba 1.5 Large

Aug 22, 2024

2.0 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 27B'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 27B's cutoff date.

Gemma 2 27B

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 2 27B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemma 2 27B and Jamba 1.5 Large are closely matched on the LLM Stats Score at -0.2 and 1.6. Gemma 2 27B 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 2 27B compare to Jamba 1.5 Large 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 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 2 27B and Jamba 1.5 Large?

Gemma 2 27B 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 2 27B and Jamba 1.5 Large?

Key differences include LLM Stats Score (-0.2 vs 1.6), 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 Large?

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