diff --git a/models.md b/models.md
index 14a7492..b45d62d 100644
--- a/models.md
+++ b/models.md
@@ -54,9 +54,10 @@ that **you choose** which axis matters more for a given task.
 - **Cheap and cheerful** → `tinfoil/gpt-oss-120b` or `greenpt/glm-5.3-flash`.
 - **Model origins matter to you** → the Apertus models (publicly developed;
   see below).
-- **Semantic search / RAG (API)** → `greenpt/qwen3-embedding-8b` — the
-  embedding model, on renewable energy (API-only; see [Embedding
-  models](#embedding-models) below).
+- **Semantic search / RAG (API)** → an embedding model: `greenpt/qwen3-embedding-8b`
+  or `greenpt/green-embeddings` (renewable energy), or `tinfoil/nomic-embed-text`
+  (TEE-protected — the model the co-op's own docs search runs on). API-only; see
+  [Embedding models](#embedding-models) below.
 
 ## Current models
 
@@ -177,27 +178,31 @@ curl https://gateway.inference.coop/v1/chat/completions \
 Embeddings turn text into a numeric vector — the input to semantic search,
 clustering and RAG. They're called on `/v1/embeddings` with your co-op API key
 and are **not chat models**: they never appear in the chat picker, the API is
-the interface (the same shape as the audio models above).
+the interface (the same shape as the audio models above). You choose between
+them the same way as for chat: a TEE-protected option (Tinfoil) or
+renewable-energy options (GreenPT).
 
 | Model | Provider | Privacy | Green | Dimensions | Max input | Pricing |
 |---|---|---|---|---|---|---|
+| `🌱 greenpt/green-embeddings` | GreenPT | policy | ✅ 100% renewable | 2560 (measured) | 32K tokens (per GreenPT's catalog) | $0.20 / 1M input tokens (no output charge) |
 | `🌱 greenpt/qwen3-embedding-8b` | GreenPT | policy | ✅ 100% renewable | 4096 (measured) | 32K tokens (per GreenPT's catalog) | $0.25 / 1M input tokens (no output charge) |
+| `🔒 tinfoil/nomic-embed-text` | Tinfoil | **architectural (TEE)** | — (mix not disclosed) | 768 (measured) | 8K tokens (per Tinfoil's catalog) | $0.016 / 1M input tokens (no output charge) |
 
 ```bash
 curl https://gateway.inference.coop/v1/embeddings \
   -H "Authorization: Bearer ***" \
   -H "Content-Type: application/json" \
-  -d '{"model": "greenpt/qwen3-embedding-8b", "input": "the text to embed"}'
+  -d '{"model": "tinfoil/nomic-embed-text", "input": "the text to embed"}'
 ```
 
 The response is standard OpenAI shape: `data[0].embedding` holds the vector,
 and `usage.prompt_tokens` is what meters against your allowance at the rate
 above. Embeddings bill input tokens only — there is no output charge.
 
-For completeness: Tinfoil also serves a private embedding model
-(`nomic-embed-text`), but it is **operator-only** — the co-op runs its own docs
-search on it inside the TEE, and member keys cannot call it.
-`greenpt/qwen3-embedding-8b` above is the member-facing embedding model.
+Vectors from different models are not interchangeable — pick one per search
+index and stay with it (re-index if you switch). All three are callable with a
+member key; for reference, the co-op's own documentation search runs on
+`tinfoil/nomic-embed-text` inside the TEE.
 
 ### Image generation