models: document greenpt/qwen3-embedding-8b — the member-facing embeddings API
New gateway model (code/litellm 54925ca): /v1/embeddings, GreenPT-hosted, 4096-dim (measured through the gateway), $0.25/1M input from GreenPT's own pricing, 32K input cap (provider catalog). Not a chat model — API-only like the audio models, hidden from the chat picker. Also states plainly that Tinfoil's nomic-embed-text is the operator-only docs-RAG embedding, since a member read its absence from the model list as removal.
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@@ -54,6 +54,9 @@ that **you choose** which axis matters more for a given task.
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- **Cheap and cheerful** → `tinfoil/gpt-oss-120b` or `greenpt/glm-5.3-flash`.
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- **Cheap and cheerful** → `tinfoil/gpt-oss-120b` or `greenpt/glm-5.3-flash`.
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- **Model origins matter to you** → the Apertus models (publicly developed;
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- **Model origins matter to you** → the Apertus models (publicly developed;
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see below).
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see below).
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- **Semantic search / RAG (API)** → `greenpt/qwen3-embedding-8b` — the
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embedding model, on renewable energy (API-only; see [Embedding
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models](#embedding-models) below).
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## Current models
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## Current models
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@@ -146,6 +149,33 @@ curl https://gateway.inference.coop/v1/chat/completions \
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]}]}'
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]}]}'
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```
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```
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### Embedding models
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Embeddings turn text into a numeric vector — the input to semantic search,
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clustering and RAG. They're called on `/v1/embeddings` with your co-op API key
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and are **not chat models**: they never appear in the chat picker, the API is
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the interface (the same shape as the audio models above).
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| Model | Provider | Privacy | Green | Dimensions | Max input | Pricing |
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|---|---|---|---|---|---|---|
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| `🌱 greenpt/qwen3-embedding-8b` | GreenPT | policy | ✅ 100% renewable | 4096 (measured) | 32K tokens (per GreenPT's catalog) | $0.25 / 1M input tokens (no output charge) |
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```bash
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curl https://gateway.inference.coop/v1/embeddings \
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-H "Authorization: Bearer ***" \
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-H "Content-Type: application/json" \
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-d '{"model": "greenpt/qwen3-embedding-8b", "input": "the text to embed"}'
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```
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The response is standard OpenAI shape: `data[0].embedding` holds the vector,
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and `usage.prompt_tokens` is what meters against your allowance at the rate
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above. Embeddings bill input tokens only — there is no output charge.
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For completeness: Tinfoil also serves a private embedding model
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(`nomic-embed-text`), but it is **operator-only** — the co-op runs its own docs
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search on it inside the TEE, and member keys cannot call it.
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`greenpt/qwen3-embedding-8b` above is the member-facing embedding model.
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### Image generation
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### Image generation
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`🌱 regolo/qwen-image` (Regolo, EU-hosted, zero data retention) generates
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`🌱 regolo/qwen-image` (Regolo, EU-hosted, zero data retention) generates
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