OA
OpenSearch-AI
Embedding model ·Jan 2026

Ops-Colqwen3-4B

Embedding Open Weights
4B
Parameters
32.8K
Context

About Ops-Colqwen3-4B

Ops-Colqwen3-4B is an AI model developed by OpenSearch-AI, in the embedding category, released in 2026, made available as an open-weights model with 4B params. ColPali-style visual document retrieval model built on Qwen3-VL-4B-Instruct, mapping text queries and visual documents (.

On this page you'll find Ops-Colqwen3-4B's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare Ops-Colqwen3-4B head-to-head with other embedding models.

→ More models by OpenSearch-AI → All embedding models → AI benchmarks leaderboard

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Frequently asked questions

What is Ops-Colqwen3-4B? ▶

ColPali-style visual document retrieval model built on Qwen3-VL-4B-Instruct, mapping text queries and visual documents ( It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Ops-Colqwen3-4B? ▶

Ops-Colqwen3-4B was developed by OpenSearch-AI and released in 2026.

Is Ops-Colqwen3-4B open source or proprietary? ▶

Ops-Colqwen3-4B 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 Ops-Colqwen3-4B's context window? ▶

Ops-Colqwen3-4B supports a context window of 32.8K tokens, and has 4B params.

How much does Ops-Colqwen3-4B cost? ▶

Pricing for Ops-Colqwen3-4B depends on the provider. See the providers table on this page for the latest API rates.

How does Ops-Colqwen3-4B perform on benchmarks? ▶

Benchmark scores for Ops-Colqwen3-4B 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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