OpenRouter: Fusion
Catalog snapshot on AI Hippo. This model is discoverable on-site even when it is not currently included in the global ranking list.
Data updated:
Model
Next steps on AI Hippo
This model is currently available from the catalog snapshot and may not be included in the latest ranked board yet.
About this model
OpenRouter: Fusion is listed in our model catalog as a LLM model with 1,000,000 ctx and a snapshot average price around — per 1M tokens. The tables below summarize the latest catalog snapshot; use Compare or the Token hub to dig deeper.
You can also explore more models from OpenRouter , and browse more options from 🇺🇸 United States .
Capabilities & specs
- Modality
- text->text
- Input modalities
- text
Catalog description: Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...
No provider-level token pricing is currently available for this model.
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FAQ
Why is the official price missing?
Official rows require a verified direct vendor or cloud API price. When only aggregators list a model, the Official column shows — and verified aggregator quotes appear in the token table.
How is context different from max output tokens?
Context window is how much input the model can accept in a single request. Max output tokens is the per-response generation cap from the primary listing—often much smaller than the context window.
Where do multi-provider prices come from?
Prices are crawled or synced from token providers (OpenRouter, Groq, Together, and others) and merged into the infrastructure comparison dataset. Verified rows show a fetch date in the status column.
Data source & methodology
- Source
- OpenRouter catalog, verified vendor crawls, and Hugging Face hub snapshots.
- Metrics
- Context window, blended 1M-token price, max output tokens, and capability fields from the OpenRouter models API.
- Update cadence
- Daily pipeline refresh; provider prices may change between snapshots.
- Fetched at
- 2026-09-30
- Method
- Composite rank uses on-site context × price weighting (not LMSYS Arena ELO).