Alibaba

Alibaba

Qwen3 Embedding 0.6B

1024-dimension embeddings from the smallest of the Qwen3 retrieval line, at the same rate as its larger siblings. The 32K window is the reason to reach for it: long documents embed whole while the vector stays small enough to index cheaply.

Modalities

Text → Text

Input

$0.0135 /1M

Output

$0.00 /1M

Cached input

$0.00135 /1M90% off

Context

33K

Speed

fast

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$0.0135 /1M input$0.00 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.01/mo
Production1,000 req/day · 2K in / 500 out
~$0.81/mo
Scale20,000 req/day · 2K in / 500 out
~$16.20/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$0.5913

$0.0197 / day on Qwen3 Embedding 0.6B

Same workload on:

Qwen 3.7 Flash$5.73+869%
Qwen 3.7 Max$269+45349%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

How it compares

Against the peers people actually weigh it against.

SpecQwen3 Embedding 0.6BQwen 3.7 FlashQwen 3.7 Max
Input /1M$0.0135$0.0458$2.56
Output /1M$0.00$0.1987$7.676
Context33K1M1M
ToolsYesYesYes
ReasoningNoYesYes
Speedfastfastmedium

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard — $0.50 free credit, no card required.

    Get API key →
  2. 2

    Make your first request

    Drop in your key and send a chat completion — fully OpenAI-compatible.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "qwen3-embedding-0.6b",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    Stream responses

    Add "stream": true to receive tokens as they arrive.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "qwen3-embedding-0.6b",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of Qwen3 Embedding 0.6B?

Qwen3 Embedding 0.6B has a 33K-token context window — roughly 48 pages of text in a single request.

How much does the Qwen3 Embedding 0.6B API cost?

$0.0135 per 1M input tokens and $0.00 per 1M output tokens, with cached input at $0.00135/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Qwen3 Embedding 0.6B support function calling?

Yes — Qwen3 Embedding 0.6B supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use Qwen3 Embedding 0.6B?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to qwen3-embedding-0.6b. Signing up is free and includes $0.50 of credit — no card required.

Start with $0.50 free credit — no card required.Create account →

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