GreenPT / greenpt/qwen3-embedding-8b

Qwen3 Embedding 8B - access through LLMTR

Qwen3 Embedding 8B produces a 4096-dimension vector per input, the highest-dimension embedding row on this provider. Its 32,000-token context window is enough to vectorize long documents in one piece. The higher dimensionality takes more room in a vector database. Pricing is on input tokens only, and it costs five times the provider's cheapest embedding row, BGE Multilingual Gemma 2. Measure on your own collection which of the three embedding rows serves you best: we ran no retrieval-quality comparison between them, so we cannot tell you whether the extra dimensions are worth the price difference.

Same model, other providers: TensorX (EU)

Technical specifications

Canonical IDgreenpt/qwen3-embedding-8b
ProviderGreenPT
Context window32,000 tokens
OperationsEMBEDDINGS
Modalitiestext, embedding

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
EMBEDDINGSINPUT_TEXTPER_1M_TOKENS$0.307881

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"greenpt/qwen3-embedding-8b","messages":[{"role":"user","content":"Hello"}]}'

Guides about this model

Related models