Core Release
Google has officially launched Gemini 3.1 Ultra, pushing the context window to the 2 million token level with native multimodal support — text, images, audio, and video all processed uniformly in a single model, no longer requiring multiple models stitched together.
Key Metrics Comparison
| Dimension | Gemini 3.1 Ultra | Gemini 3.0 Ultra | Claude Opus 4.6 |
|---|---|---|---|
| Context Window | 2M tokens | 1M tokens | 1M tokens |
| Modal Support | Text+Image+Audio+Video | Text+Image+Audio | Text+Image |
| Multimodal Method | Native unified | Native unified | Multi-model stitching |
| Release Timeline | May 2026 | February 2026 | April 2026 |
What Does 2M Context Mean
2 million tokens approximately equals:
- 1.5 million English words or 1 million Chinese characters
- A 1,500-page technical book
- A complete movie’s full transcript plus scene descriptions
- The entire content of a 1,000-page codebase
Processing this data volume in a single inference request means RAG (Retrieval-Augmented Generation) needs may be redefined — when context windows are large enough, the “retrieval” step may become unnecessary.
Gemini’s Four-Layer Ecosystem
Google is building a layered product strategy:
- Gemini Chat (free tier): Everyday Q&A, using 3.1 Pro for complex problems
- Gemini Advanced (subscription): Unlocks Ultra model, 2M context
- Gemini API (developer tier): Pay-per-use, supports fine-tuning
- Gemini Enterprise (enterprise tier): Private deployment options
Meanwhile, a new Gemini Flash model (possibly version 3.5) has appeared in LMSys Arena evaluation records. Combined with the upcoming Google I/O conference, expect significantly larger product updates.
Competitive Landscape Judgment
The context window arms race has entered a new phase:
- Gemini 3.1 Ultra: 2M, leading
- Claude Opus 4.6: 1M, close behind
- GPT-5.5: 200K, significant gap but leading in agentic capabilities
- Qwen 3.6 Max: 262K, cost-performance advantage
For most application scenarios, 262K-1M is already more than sufficient. The value of 2M primarily manifests in scenarios requiring one-time processing of ultra-large documents (legal files, medical literature, complete code repositories).
Action Recommendations
- Long document analysis needs: Prioritize Gemini 3.1 Ultra — 2M context handles complete books/codebases without chunking
- Multimodal workflow users: Native unified processing avoids information loss from multi-model chaining
- Cost-sensitive users: Watch Gemini Flash updates; new pricing strategies expected after Google I/O
- Developers: API is available — test actual token consumption and performance under 2M context