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Gemma 2vsGemini 2.5 Pro

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

Gemma 2 leads 3/5 categories

Head-to-Head Comparison

MetricGemma 2Gemini 2.5 Pro
Provider
Arena Rank
#26
#4
Context Window
8K
1M
Input Pricing
Free/1M tokens
$1.25/1M tokens
Output Pricing
Free/1M tokens
$10.00/1M tokens
Parameters
27B
Undisclosed
Open Source
Yes
No
Best For
On-device AI, research, fine-tuning
Long documents, multimodal, reasoning
Release Date
Jun 27, 2024

Gemma 2

Gemma 2 is Google's previous generation open-source model family, available in 2B, 9B, and 27B parameter sizes. Designed for researchers and developers, it provides strong performance for its size class on reasoning, coding, and general knowledge tasks. The model can be fine-tuned for specific domains and runs efficiently on consumer GPUs. Gemma 2 has been widely adopted in the research community for experiments in alignment, efficiency, and domain adaptation. Its permissive license allows commercial use.

View Google DeepMind profile →

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.

View Google DeepMind profile →

Key Differences: Gemma 2 vs Gemini 2.5 Pro

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

G

When to use Gemma 2

  • +Budget is a concern and you need cost efficiency
  • +You need to self-host or fine-tune the model
  • +Your use case involves on-device ai, research, fine-tuning
View full Gemma 2 specs →
G

When to use Gemini 2.5 Pro

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +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 →

Cost Analysis

At current pricing, Gemma 2 is nullx more affordable than Gemini 2.5 Pro. For a typical enterprise workload processing 100M tokens per month:

Gemma 2 monthly cost

$0

100M tokens/mo (50/50 in/out)

Gemini 2.5 Pro monthly cost

$563

100M tokens/mo (50/50 in/out)

The Verdict

Gemma 2 wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for on-device ai, research, fine-tuning, though Gemini 2.5 Pro holds an edge in long documents, multimodal, reasoning.

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

Frequently Asked Questions

Which is better, Gemma 2 or Gemini 2.5 Pro?
In our head-to-head comparison, Gemma 2 leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Gemma 2 excels at on-device ai, research, fine-tuning, while Gemini 2.5 Pro is better suited for long documents, multimodal, reasoning. The best choice depends on your specific requirements, budget, and use case.
How does Gemma 2 pricing compare to Gemini 2.5 Pro?
Gemma 2 charges Free per 1M input tokens and Free per 1M output tokens. Gemini 2.5 Pro charges $1.25 per 1M input tokens and $10.00 per 1M output tokens. Gemma 2 is the more affordable option. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Gemma 2 and Gemini 2.5 Pro?
Gemma 2 supports a 8K token context window, while Gemini 2.5 Pro supports 1M 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 Gemma 2 or Gemini 2.5 Pro for free?
Gemma 2 is available for free (open-source). Gemini 2.5 Pro is a paid API model starting at $1.25 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Gemma 2 or Gemini 2.5 Pro?
Gemma 2 holds arena rank #26, while Gemini 2.5 Pro holds rank #4. 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 Gemma 2 or Gemini 2.5 Pro better for coding?
Gemma 2's primary strength is on-device ai, research, fine-tuning. Gemini 2.5 Pro's primary strength is long documents, multimodal, reasoning. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.