Qwen3 Embedding 0.6B

Compact Qwen3 embedding model with 32K context and configurable output dimensions (32–1024) via Matryoshka representation learning, supporting 100+ languages.

qwen3-embedding-0.6b
Embedding modelSTABLEGet StartedView uptime
32,768 context
Released June 5, 2025
Starting at $0.01/M input tokens
Starting at $0.00/M output tokens
Embeddings
No ratings yetSign in to rate

Select Provider

All Providers for Qwen3 Embedding 0.6B

LLM Gateway routes requests to the best providers that are able to handle your prompt size and parameters.

DeepInfra
Context: 32.8k
Input
$0.01
/M tokens
Cache Read
/M tokens
Output
$0
/M tokens
Get Started

Frequently asked questions

What is Qwen3 Embedding 0.6B?

Compact Qwen3 embedding model with 32K context and configurable output dimensions (32–1024) via Matryoshka representation learning, supporting 100+ languages. You can access it through LLM Gateway's OpenAI-compatible API with automatic provider routing, fallback, and cost analytics.

How much does Qwen3 Embedding 0.6B cost?

Pricing for Qwen3 Embedding 0.6B on LLM Gateway starts at $0.01 per million input tokens and $0.00 per million output tokens, depending on the provider. The pricing table above always reflects the current per-provider rates.

What is the context length of Qwen3 Embedding 0.6B?

Qwen3 Embedding 0.6B supports a context window of up to 32,768 tokens on its largest provider deployment.

Which providers serve Qwen3 Embedding 0.6B?

Qwen3 Embedding 0.6B is served by DeepInfra through LLM Gateway. Requests are automatically routed to the best available provider, with fallback when a provider has issues.

Does Qwen3 Embedding 0.6B support tool calling and structured outputs?

No. Qwen3 Embedding 0.6B does not currently support tool calling or structured JSON outputs through LLM Gateway.

When was Qwen3 Embedding 0.6B released?

Qwen3 Embedding 0.6B was released on June 5, 2025.