[GH-ISSUE #12854] Qwen3-VL Runs Significantly Slower Than Qwen2.5-VL on Windows with RTX 4090 #70578

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opened 2026-05-04 22:03:43 -05:00 by GiteaMirror · 5 comments
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Originally created by @yugame on GitHub (Oct 30, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/12854

What is the issue?

qwen2.5vl:latest 5ced39dfa4ba 6.0 GB 35 minutes ago
qwen3-vl:latest 901cae732162 6.1 GB 56 minutes ago

I would like to report a bug: Ollama's Qwen3-VL runs abnormally slowly compared to Qwen2.5-VL. Environment: Windows with NVIDIA GeForce RTX 4090. Processing the same image takes only a few seconds with Qwen2.5-VL but tens of seconds with Qwen3-VL.

Relevant log output


OS

No response

GPU

No response

CPU

No response

Ollama version

No response

Originally created by @yugame on GitHub (Oct 30, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/12854 ### What is the issue? qwen2.5vl:latest 5ced39dfa4ba 6.0 GB 35 minutes ago qwen3-vl:latest 901cae732162 6.1 GB 56 minutes ago I would like to report a bug: Ollama's Qwen3-VL runs abnormally slowly compared to Qwen2.5-VL. Environment: Windows with NVIDIA GeForce RTX 4090. Processing the same image takes only a few seconds with Qwen2.5-VL but tens of seconds with Qwen3-VL. ### Relevant log output ```shell ``` ### OS _No response_ ### GPU _No response_ ### CPU _No response_ ### Ollama version _No response_
GiteaMirror added the bug label 2026-05-04 22:03:43 -05:00
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@yugame commented on GitHub (Oct 30, 2025):

ollama version is 0.12.7

<!-- gh-comment-id:3467014582 --> @yugame commented on GitHub (Oct 30, 2025): ollama version is 0.12.7
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@rick-github commented on GitHub (Oct 30, 2025):

Server log may help in debugging.

<!-- gh-comment-id:3467052196 --> @rick-github commented on GitHub (Oct 30, 2025): [Server log](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.mdx) may help in debugging.
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@yugame commented on GitHub (Oct 30, 2025):

Maybe the ollama qwen3vl use thinking? This performance resembles using the program with Qwen/Qwen3-VL-8B-Thinking. If that's the case, could you provide the Qwen/Qwen3-VL-8B-Instruct model?

<!-- gh-comment-id:3467735070 --> @yugame commented on GitHub (Oct 30, 2025): Maybe the ollama qwen3vl use thinking? This performance resembles using the program with Qwen/Qwen3-VL-8B-Thinking. If that's the case, could you provide the Qwen/Qwen3-VL-8B-Instruct model?
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Owner

@rick-github commented on GitHub (Oct 30, 2025):

https://ollama.com/library/qwen3-vl:8b-instruct

<!-- gh-comment-id:3467766128 --> @rick-github commented on GitHub (Oct 30, 2025): https://ollama.com/library/qwen3-vl:8b-instruct
Author
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@yugame commented on GitHub (Oct 30, 2025):

thanks

<!-- gh-comment-id:3467786676 --> @yugame commented on GitHub (Oct 30, 2025): thanks
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Reference: github-starred/ollama#70578