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Gemini 2.5 ProvsGemma 2 27B

Google DeepMind vs Google DeepMind — Side-by-side model comparison

Gemini 2.5 Pro leads 4/5 categories

Head-to-Head Comparison

MetricGemini 2.5 ProGemma 2 27B
Provider
Google DeepMind
Google DeepMind
Arena Rank
#4
#18
Context Window
1M
8K
Input Pricing
$1.25/1M tokens
Free (open)/1M tokens
Output Pricing
$10.00/1M tokens
Free (open)/1M tokens
Parameters
Undisclosed
27B
Open Source
No
Yes
Best For
Long documents, multimodal, reasoning
Research, fine-tuning, on-premise deployment
Release Date
Jun 27, 2024

Gemini 2.5 Pro

Gemini 2.5 Pro is Google DeepMind's most capable AI model, featuring an industry-leading 1 million token context window that can process entire books, codebases, or hours of video in a single request. Built with native multimodal capabilities, it understands text, images, audio, and video natively rather than through separate encoders. The model demonstrates exceptional performance on coding benchmarks, mathematical reasoning, and multi-step planning tasks. Its massive context window makes it uniquely suited for tasks involving large document analysis, repository-scale code understanding, and long video comprehension. Gemini 2.5 Pro also features built-in 'thinking' capabilities similar to reasoning models, allowing it to tackle complex problems with improved accuracy. Available through Google AI Studio and Vertex AI.

Gemma 2 27B

Gemma 2 27B, developed by Google DeepMind, is the largest model in the Gemma 2 open-source family with 27 billion parameters and an 8K token context window. The model delivers performance competitive with much larger open-source alternatives while requiring less compute for inference. Its architecture incorporates knowledge distillation techniques from larger Gemini models, achieving strong results on reasoning, coding, and multilingual benchmarks. Gemma 2 27B supports fine-tuning and can run on a single high-end consumer GPU, making it practical for on-premise enterprise deployments with data privacy requirements. As a fully open-source model with permissive licensing, it enables commercial deployment without API costs. Gemma 2 27B ranks #18 on the Chatbot Arena leaderboard, placing it among the strongest open-weight models in its parameter class.

Key Differences: Gemini 2.5 Pro vs Gemma 2 27B

1

Gemini 2.5 Pro ranks higher in arena benchmarks (#4) indicating stronger overall performance.

2

Gemini 2.5 Pro supports a larger context window (1M), allowing it to process longer documents in a single request.

3

Gemma 2 27B is open-source (free to self-host and fine-tune) while Gemini 2.5 Pro is proprietary (API-only access).

G

When to use Gemini 2.5 Pro

  • +You need the highest quality output based on arena rankings
  • +You need to process long documents (1M context)
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves long documents, multimodal, reasoning
View full Gemini 2.5 Pro specs →
G

When to use Gemma 2 27B

  • +You need to self-host or fine-tune the model
  • +Your use case involves research, fine-tuning, on-premise deployment
View full Gemma 2 27B specs →

The Verdict

Gemini 2.5 Pro wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for long documents, multimodal, reasoning, though Gemma 2 27B holds an edge in research, fine-tuning, on-premise deployment.

Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Gemini 2.5 Pro or Gemma 2 27B?
In our head-to-head comparison, Gemini 2.5 Pro leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Gemini 2.5 Pro excels at long documents, multimodal, reasoning, while Gemma 2 27B is better suited for research, fine-tuning, on-premise deployment. The best choice depends on your specific requirements, budget, and use case.
How does Gemini 2.5 Pro pricing compare to Gemma 2 27B?
Gemini 2.5 Pro charges $1.25 per 1M input tokens and $10.00 per 1M output tokens. Gemma 2 27B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Gemini 2.5 Pro and Gemma 2 27B?
Gemini 2.5 Pro supports a 1M token context window, while Gemma 2 27B supports 8K tokens. Gemini 2.5 Pro can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Gemini 2.5 Pro or Gemma 2 27B for free?
Gemini 2.5 Pro is a paid API model starting at $1.25 per 1M input tokens. Gemma 2 27B is a paid API model starting at Free (open) per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Gemini 2.5 Pro or Gemma 2 27B?
Gemini 2.5 Pro holds arena rank #4, while Gemma 2 27B holds rank #18. Gemini 2.5 Pro performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Gemini 2.5 Pro or Gemma 2 27B better for coding?
Gemini 2.5 Pro's primary strength is long documents, multimodal, reasoning. Gemma 2 27B's primary strength is research, fine-tuning, on-premise deployment. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.