Qw
Qwen: Qwen3 Embedding 0.6B
Free allowance
Up to10,000neurons / day
via Cloudflare
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).
- Input
- text
- Output
- text
Providers
Available through 2 free providers. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Qwen3 Embedding 0.6B is available with up to 10,000 neurons / day free through Cloudflare. Free allowances can change. Check the Qwen3 Embedding 0.6B provider limits before you start.
To use Qwen3 Embedding 0.6B, choose one of the listed Qwen3 Embedding 0.6B API providers and follow the provider’s account and API-key setup guide. Copy the Qwen3 Embedding 0.6B model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Qwen3 Embedding 0.6B accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Qwen3 Embedding 0.6B documentation for supported file types and request formats.
Qwen3 Embedding 0.6B has a listed context window of 33K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Qwen3 Embedding 0.6B may be smaller than the context window and can vary by provider.
Neither reasoning nor tool calling support is listed for Qwen3 Embedding 0.6B. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Qwen3 Embedding 0.6B yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Qwen3 Embedding 0.6B on examples from your own task alongside context size and provider limits.