Qwen
Qwen
Embedding model · China ·Mar 2026

LaSER-Qwen3-4B

Embedding Open Weights
4B
Parameters
8.2K
Context

About LaSER-Qwen3-4B

LaSER-Qwen3-4B is an AI model developed by Qwen, in the embedding category, released in 2026, made available as an open-weights model with 4B params. Mid-size variant of the LaSER dense-retrieval family on a Qwen3-4B base, producing 2560-dim embeddings (English). Uses t.

On this page you'll find LaSER-Qwen3-4B's full specifications, including a context window of 8.2K tokens. Review provider pricing and benchmark scores below, or compare LaSER-Qwen3-4B head-to-head with other embedding models.

→ More models by Qwen → All embedding models → AI benchmarks leaderboard

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Frequently asked questions

What is LaSER-Qwen3-4B? ▶

Mid-size variant of the LaSER dense-retrieval family on a Qwen3-4B base, producing 2560-dim embeddings (English). Uses t It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created LaSER-Qwen3-4B? ▶

LaSER-Qwen3-4B was developed by Qwen and released in 2026.

Is LaSER-Qwen3-4B open source or proprietary? ▶

LaSER-Qwen3-4B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

What is LaSER-Qwen3-4B's context window? ▶

LaSER-Qwen3-4B supports a context window of 8.2K tokens, and has 4B params.

How much does LaSER-Qwen3-4B cost? ▶

Pricing for LaSER-Qwen3-4B depends on the provider. See the providers table on this page for the latest API rates.

How does LaSER-Qwen3-4B perform on benchmarks? ▶

Benchmark scores for LaSER-Qwen3-4B 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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