Gemma 2 27BvsGemini 1.5 Pro
Google DeepMind vs Google DeepMind — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Gemma 2 27B | Gemini 1.5 Pro |
|---|---|---|
| Provider | ||
| Arena Rank | #18 | #4 |
| Context Window | 8K | 1M |
| Input Pricing | Free (open)/1M tokens | $3.50/1M tokens |
| Output Pricing | Free (open)/1M tokens | $10.50/1M tokens |
| Parameters | 27B | Undisclosed |
| Open Source | Yes | No |
| Best For | Research, fine-tuning, on-premise deployment | Long documents, multimodal analysis, coding |
| Release Date | Jun 27, 2024 | May 14, 2024 |
Gemma 2 27B
Gemma 2 27B is Google DeepMind's largest open-weight model in the Gemma 2 family, delivering performance that rivals much larger proprietary models. Built using research and technology from the Gemini models, it features an efficient architecture that runs well on standard hardware. Gemma 2 27B is freely available for both research and commercial use, making it one of the strongest open models available for fine-tuning and on-premise deployment scenarios.
View Google DeepMind profile →Gemini 1.5 Pro
Gemini 1.5 Pro is Google DeepMind's flagship multimodal model featuring an industry-leading 1 million token context window, capable of processing entire codebases, books, or hours of video in a single prompt. It demonstrates exceptional performance on long-context reasoning tasks, multimodal understanding across text, images, audio, and video, and complex coding challenges. The massive context window opens entirely new use cases that were previously impossible with shorter-context models.
View Google DeepMind profile →Key Differences: Gemma 2 27B vs Gemini 1.5 Pro
Gemini 1.5 Pro ranks higher in arena benchmarks (#4) indicating stronger overall performance.
Gemini 1.5 Pro supports a larger context window (1M), allowing it to process longer documents in a single request.
Gemma 2 27B is open-source (free to self-host and fine-tune) while Gemini 1.5 Pro is proprietary (API-only access).
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
When to use Gemini 1.5 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 analysis, coding
The Verdict
Gemini 1.5 Pro wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for long documents, multimodal analysis, coding, though Gemma 2 27B holds an edge in research, fine-tuning, on-premise deployment.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages