Qwen Models

Approved models

86

Records published from this collection

Provider information

lab

Review approach

Verify each model’s source, terms, capabilities, and current availability

Qwen publishes language and multimodal model families. This directory separates the capability of a named checkpoint from the services and terms of an inference host.

Qwen Image 2.1

Qwen Image 2.1 combines image generation, editing and native transparent RGBA output. Its documented reference-image workflow makes it relevant for product assets and iterative edits.

Give a visual brief with the exact text, composition and parts that must remain unchanged. For an edit, compare subject identity and layout as well as the requested change. For a transparent asset, inspect the alpha edge against both light and dark backgrounds.

Pipeline requirements and terms

The model card names the pipeline and current dependency requirements. A parameter count for the visual-generation component does not describe the full pipeline’s memory use. Test the chosen dimensions, precision and reference-image count on your deployment.

Qwen Image 2.1 has Qwen Research licensing, rather than an assumed Apache licence. Read the checkpoint’s terms before choosing it for a project. A managed API also has its own usage limits and billing units.

For a hosted alternative, see the Qwen versus Nano Banana guide. Measure assets accepted against the same brief, the number of revisions and the time needed to finish each output.

Publisher resources

Current publisher documentation

Qwen model list

Review each record individually; collection membership does not imply a recommendation or guarantee of availability.

86 models
Qwen3.8 2.4T A95B
Qwen
35.2262.14K———
Qwen3.8 Flash Next
Qwen
45.2262.14K———
Qwen3.8 27B
Qwen
45.2262.14K———
Qwen3.8 Omni Flash
Qwen
51.71M———
Qwen Image 2.1
Qwen
10.0————
Qwen3.8 Flash
Qwen
66.71M$0.15$0.47—
Qwen/Qwen3.6-27B
Qwen
60.8196.61K———
Qwen/Qwen3.6-35B-A3B
Qwen
60.7262.14K$0.342$2.052—
Qwen/Qwen3.5-9B
Qwen
64.4262.14K$0.04$0.15—
Qwen/Qwen-Image
Qwen
14.18.19K$0.50$2.00—
Qwen/Qwen3.5-122B-A10B
Qwen
42.0131.07K$0.437$3.496—
Qwen/Qwen3.5-27B
Qwen
36.8260.1K$0.27$2.16—
Qwen/Qwen3.5-35B-A3B
Qwen
36.8260.1K$0.225$1.80—
Qwen/Qwen3-Coder-Next-FP8
Qwen
41.6256.14K$0.00$0.00—
Qwen/Qwen3-Embedding-8B
Qwen
22.232.77K$0.10$0.10—
Qwen/Qwen3-Reranker-4B
Qwen
22.232.77K$0.12$0.12—
Qwen/Qwen3.5-0.8B
Qwen
31.732.77K$0.00$0.00—
Qwen/Qwen3.5-2B
Qwen
31.732.77K$0.00$0.00—
Qwen/Qwen3.5-4B
Qwen
31.732.77K$0.00$0.00—
Qwen/Qwen3-Omni-30B-A3B-Thinking
Qwen
20.0————
Qwen/Qwen3-VL-235B-A22B-Instruct
Qwen
41.5262.14K$0.20$0.88—
Qwen/Qwen3-Embedding-4B
Qwen
18.232K$0.00$0.00—
Qwen/Qwen3-Reranker-8B
Qwen
5.0————
Qwen/Qwen3-Embedding-0.6B
Qwen
11.08K$0.04$0.00—
Qwen/Qwen3-30B-A3B
Qwen
32.2128K$0.11$1.08—
Qwen/Qwen3-14B
Qwen
47.2131.07K$0.35$1.40—
Qwen/Qwen3-32B
Qwen
43.140.96K$0.10$0.30—
Qwen/Qwen3-8B
Qwen
47.2131.07K$0.18$0.70—
Qwen/Qwen2.5-Omni-7B
Qwen
41.832.77K$0.10$0.40—
Qwen/Qwen2.5-14B-Instruct
Qwen
31.0131.07K$0.35$1.40—
Qwen/Qwen2.5-7B-Instruct
Qwen
31.0131.07K$0.175$0.70—
Qwen/Qwen2.5-VL-7B-Instruct
Qwen
36.0131.07K$0.35$1.05—
Qwen Image 2.1 PE I2I
Qwen
40.2262.14K———
Qwen Image 2.1 PE T2I
Qwen
35.2262.14K———
Qwen Image 3.0
Qwen
10.0————
Qwen Image 3.0 Pro
Qwen
10.0————
Qwen/Qwen-Image-Edit
Qwen
10.0————
Qwen/Qwen-Image-Edit-2509
Qwen
10.0————
Qwen/Qwen-Image-Edit-2511
Qwen
10.0————
Qwen/Qwen-Image-Layered
Qwen
10.0————
Qwen/Qwen2-1.5B-Instruct
Qwen
0.0————
Qwen/Qwen2-Audio-7B
Qwen
5.0————
Qwen/Qwen2-Audio-7B-Instruct
Qwen
5.0————
Qwen/Qwen2-VL-2B-Instruct
Qwen
5.0————
Qwen/Qwen2-VL-7B-Instruct
Qwen
5.0————
Qwen/Qwen2-VL-7B-Instruct-AWQ
Qwen
5.0————
Qwen/Qwen2.5-0.5B
Qwen
0.0————
Qwen/Qwen2.5-0.5B-Instruct
Qwen
0.0————
Qwen/Qwen2.5-1.5B-Instruct
Qwen
0.0————
Qwen/Qwen2.5-14B-Instruct-AWQ
Qwen
0.0————
Qwen/Qwen2.5-3B-Instruct
Qwen
0.0————
Qwen/Qwen2.5-7B-Instruct-AWQ
Qwen
0.0————
Qwen/Qwen2.5-Coder-14B-Instruct
Qwen
0.0————
Qwen/Qwen2.5-Math-PRM-7B
Qwen
5.0————
Qwen/Qwen2.5-Omni-3B
Qwen
20.0————
Qwen/Qwen2.5-Omni-7B-AWQ
Qwen
20.0————
Qwen/Qwen2.5-VL-32B-Instruct-AWQ
Qwen
5.0————
Qwen/Qwen2.5-VL-3B-Instruct
Qwen
5.0————
Qwen/Qwen2.5-VL-7B-Instruct-AWQ
Qwen
5.0————
Qwen/Qwen3-0.6B
Qwen
0.0————

1–60 of 86 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

About Qwen models

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.