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Qwen3 Embedding
About Qwen3 Embedding
Qwen3 Embedding is an AI model developed by Qwen, in the language category, released in 2025, made available as an open-weights model with 8B params.
On this page you'll find Qwen3 Embedding's full specifications. Review provider pricing and benchmark scores below, or compare Qwen3 Embedding head-to-head with other language models.
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Run Qwen3 Embedding locally — what to buy
Share this build ↗Sized to what Qwen3 Embedding actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is Qwen3 Embedding? ▶
Qwen3 Embedding is an AI model developed by Qwen, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Qwen3 Embedding? ▶
Qwen3 Embedding was developed by Qwen and released in 2025.
Is Qwen3 Embedding open source or proprietary? ▶
Qwen3 Embedding ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Qwen3 Embedding cost? ▶
Pricing for Qwen3 Embedding depends on the provider. See the providers table on this page for the latest API rates.
How does Qwen3 Embedding perform on benchmarks? ▶
Benchmark scores for Qwen3 Embedding are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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