Gemma 2vsGemini 2.5 Pro
Google DeepMind vs Google DeepMind — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Gemma 2 | Gemini 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
Gemini 2.5 Pro ranks higher in arena benchmarks (#4) indicating stronger overall performance.
Gemini 2.5 Pro supports a larger context window (1M), allowing it to process longer documents in a single request.
Gemma 2 is open-source (free to self-host and fine-tune) while Gemini 2.5 Pro is proprietary (API-only access).
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
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
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