The AI arena is free today

Open Superagent

Gemini 1.0 Pro vs Gemma 2 27B

Gemini 1.0 Pro and Gemma 2 27B are closely matched at -5.2 and -0.5 on the LLM Stats Score.

Google · Google · Updated for 2026

Which is better?

Gemini 1.0 Pro and Gemma 2 27B are closely matched on the overall LLM Stats Score at -5.2 and -0.5.

In the 3 individual benchmarks reported for both models, Gemma 2 27B 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 Gemini 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Gemma 2 27B

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Jun 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
Gemma 2 27B
Google
Core performance indexes
LLM Stats Score
-5.2
#340
-0.5
#313
Reasoning
-7.8
#339
-0.9
#310
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
32,760
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.0 Pro
Gemma 2 27B
Math
-1.4#294
-0.3#287
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 16 for Gemma 2 27B

3 shared

Gemini 1.0 Pro outperforms in 1 benchmarks (BIG-Bench), while Gemma 2 27B is better at 2 benchmarks (MATH, MMLU).

Gemma 2 27B shows notably better performance in the majority of benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Google
Gemma 2 27B
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Gemma 2 27B uses Gemma.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Gemma 2 27B was released on 2024-06-27.

Gemma 2 27B is 4 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.5 years ago

Gemma 2 27B

Jun 27, 2024

2.2 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Gemma 2 27B's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemini 1.0 Pro

Feb 2024

Gemma 2 27B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Gemma 2 27B side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Gemma 2 27B
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Gemma 2 27B.

Which is better, Gemini 1.0 Pro or Gemma 2 27B?

Gemini 1.0 Pro and Gemma 2 27B are closely matched on the LLM Stats Score at -5.2 and -0.5. Gemini 1.0 Pro is made by Google and Gemma 2 27B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.0 Pro compare to Gemma 2 27B in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the context window sizes for Gemini 1.0 Pro and Gemma 2 27B?

Gemini 1.0 Pro supports 33K tokens and Gemma 2 27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and Gemma 2 27B?

Key differences include LLM Stats Score (-5.2 vs -0.5), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Related comparisons