Models
Gemini 2.5 Pro
| Provider | Google DeepMind |
|---|---|
| Context Window | 1M tokens |
| Parameters | Unknown |
| Input Pricing | $3.50/1M |
| Output Pricing | $10.50/1M |
| API Available | ✓ Yes |
| Open Source | ✗ No |
Gemini 2.5 Pro is Google DeepMind’s flagship model, featuring the largest context window of any commercially available model at 1 million tokens. It excels at multimodal reasoning tasks involving video, audio, and very long documents.
Capabilities
- Multimodal: Native video understanding, audio transcription, image analysis — all in one model
- Long context: 1M tokens — process entire document repositories in a single prompt
- Code: Strong on Python, JavaScript, SQL
- Multilingual: Competitive across 100+ languages
- Google integration: Native access to Google Search, Drive, Docs, YouTube
Performance Summary
On MMLU: 91.8% | On HumanEval: 85.3% | On Video QA: 94.1% (best-in-class)
Best For
Video analysis, long-document synthesis, multimodal research applications, Google Workspace automation, and any task where the 1M context window provides a structural advantage.
Context Window Notes
The 1M token context window is the defining feature of Gemini 2.5 Pro. While recall quality degrades slightly past 500K tokens, it remains usable throughout — no other model offers this at a competitive price point.