diff --git a/config.yaml b/config.yaml
index a264535..1f1cea2 100644
--- a/config.yaml
+++ b/config.yaml
@@ -10,6 +10,7 @@
 #   tinfoil/deepseek-v4-1-flash: $0.65 in / $1.45 out / $0.13 cached per 1M
 #   tinfoil/gpt-oss-120b:        $0.15 in / $0.60 out per 1M
 #   tinfoil/glm-5.3:             $1.80 in / $5.75 out / $0.45 cached per 1M
+#   greenpt/qwen3-embedding-8b:  $0.25 in / $0 out per 1M (embeddings, 32K ctx)
 # Without these, LiteLLM can't price these custom models, so spend shows $0.00
 # and the team budget cap is not enforced.
 #
@@ -208,6 +209,28 @@ model_list:
       input_cost_per_token: 0.00000005
       output_cost_per_token: 0.0
 
+  # --- Embedding model (GreenPT, member-facing) ---
+  # qwen3-embedding-8b — text embeddings via /v1/embeddings, callable by any
+  # member key (NOT team-scoped, unlike nomic above). Added 2026-11-06 after a
+  # member asked for an embedding model: the private (Tinfoil) embedding is an
+  # operator-only docs-RAG resource, so this fills the member-facing gap on
+  # renewable EU hosting. The portal filters mode:embedding out of the chat
+  # picker, so it is API-only — same shape as the audio models above.
+  # Pricing per GreenPT /v1/pricing: $0.25/1M input, no output charge
+  # (embeddings return vectors; GreenPT lists maxOutputTokens null), 32K
+  # context. max_input_tokens declared from the provider's contextWindowTokens
+  # so clients don't invent a larger one (the null-caps defect).
+  - model_name: greenpt/qwen3-embedding-8b
+    litellm_params:
+      model: openai/qwen3-embedding-8b
+      api_base: https://api.greenpt.ai/v1
+      api_key: os.environ/GREENPT_API_KEY
+    model_info:
+      mode: embedding
+      input_cost_per_token: 0.00000025
+      output_cost_per_token: 0.0
+      max_input_tokens: 32000
+
 # Fallback: if DeepSeek is down, use GPT-OSS
 # NOTE: DeepSeek V4.1 Flash is a reasoning model — generations routinely run
 # longer than 30s. A 30s timeout caused LiteLLM to abandon in-flight DeepSeek