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Open-weight model · Image and text to text

Qwen3-VL-8B-Instruct

by Qwen Qwen/Qwen3-VL-8B-Instruct

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Parameters8.8B
Context262,144
Weights17.5 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads19.1M

Runs On

What it takes to serve Qwen3-VL-8B-Instruct (8.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 17.5 GB 21.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 8.8 GB 10.5 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 4.4 GB 5.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.

Model Card

By Qwen, published under apache-2.0, revision 0c351dd01ed8.

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.

Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on‑demand deployment.

Key Enhancements:

Read the full model card (741 words)

Configuration

Architecture
Qwen3VLForConditionalGeneration
Context length (tokens)
262,144
Layers
36
Hidden size
4,096
Feed-forward size
12,288
Attention heads
32
Key/value heads
8
Head dimension
128
Vocabulary size
151,936
RoPE base
5,000,000
Model type
qwen3_vl

Identity and Version

Repository
Qwen/Qwen3-VL-8B-Instruct
Publisher
Qwen
Task
Image and text to text
Modality
Image and text
Library
transformers
Parameters
8.8B parameters
Languages
Not stated by the source
Revision
0c351dd01ed87e9c1b53cbc748cba10e6187ff3b
First published
2025-10-11
Last updated
2025-10-15

Files and Weights

16 files, 17.5 GB in total. The weights are 4 files totalling 17.5 GB in safetensors.

Weights4 files · 17.5 GB
Configuration6 files · 75.8 KB
Tokenizer4 files · 11.5 MB
Documentation1 file · 7.1 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00004.safetensorsWeights4.9 GB d5d0aef0eb17
model-00002-of-00004.safetensorsWeights4.9 GB 8be88fb5501e
model-00003-of-00004.safetensorsWeights5.0 GB 83de00eafe6e
model-00004-of-00004.safetensorsWeights2.7 GB 0a88b98e9f96
chat_template.jsonConfiguration5.5 KB
config.jsonConfiguration1.5 KB
generation_config.jsonConfiguration269 B
model.safetensors.index.jsonConfiguration67.8 KB
preprocessor_config.jsonConfiguration390 B
video_preprocessor_config.jsonConfiguration385 B
README.mdDocumentation7.1 KB
.gitattributesRepository1.5 KB
merges.txtTokenizer1.7 MB
tokenizer.jsonTokenizer7.0 MB
tokenizer_config.jsonTokenizer10.9 KB
vocab.jsonTokenizer2.8 MB

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
17.5 GB
Download from Qwen

Released by Qwen through ModelScope. Read the license.

Built From

Evaluations

Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.

BenchmarkConditionsResultReported byRevisionDate
Delores-Lin/MDPBench Task arMetric arComparison conditions not established 63.1 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task deMetric deComparison conditions not established 73.7 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task digitalMetric digitalComparison conditions not established 78.4 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task enMetric enComparison conditions not established 71.4 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task esMetric esComparison conditions not established 69.3 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task frMetric frComparison conditions not established 66.2 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task hiMetric hiComparison conditions not established 58.4 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task idMetric idComparison conditions not established 68.5 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task itMetric itComparison conditions not established 79.1 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task jpMetric jpComparison conditions not established 59.9 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task koMetric koComparison conditions not established 61.9 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task latinMetric latinComparison conditions not established 73.6 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task nlMetric nlComparison conditions not established 78.3 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task non_latinMetric non_latinComparison conditions not established 62.5 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task overallMetric overallComparison conditions not established 68.3 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task photographedMetric photographedComparison conditions not established 65 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task ptMetric ptComparison conditions not established 82.2 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task ruMetric ruComparison conditions not established 57.9 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task thMetric thComparison conditions not established 62 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task viMetric viComparison conditions not established 73.4 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task zhMetric zhComparison conditions not established 62.6 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
Delores-Lin/MDPBench Task zh_tMetric zh_tComparison conditions not established 73.8 MDPBench leaderboard
Reported by a third party
Evaluated revision not stated 2026-04-14
llamaindex/ParseBench Task chartMetric chartSetup Pipeline name: qwen3vl_layoutComparison conditions not established 1.4 ParseBench
Reported by a third party
Evaluated revision not stated 2026-04-14
llamaindex/ParseBench Task layoutMetric layoutSetup Pipeline name: qwen3vl_layoutComparison conditions not established 55.1 ParseBench
Reported by a third party
Evaluated revision not stated 2026-04-14
llamaindex/ParseBench Task meanMetric meanSetup Pipeline name: qwen3vl_layoutComparison conditions not established 46.8 ParseBench
Reported by a third party
Evaluated revision not stated 2026-04-14
llamaindex/ParseBench Task tableMetric tableSetup Pipeline name: qwen3vl_layoutComparison conditions not established 21.4 ParseBench
Reported by a third party
Evaluated revision not stated 2026-04-14
llamaindex/ParseBench Task text_contentMetric text_contentSetup Pipeline name: qwen3vl_layoutComparison conditions not established 89.5 ParseBench
Reported by a third party
Evaluated revision not stated 2026-04-14
llamaindex/ParseBench Task text_formattingMetric text_formattingSetup Pipeline name: qwen3vl_layoutComparison conditions not established 66.8 ParseBench
Reported by a third party
Evaluated revision not stated 2026-04-14
tiiuae/PBench Task averageMetric averageSetup Detection-only model combined with SAM2 to convert boxes to segmentation masks.Comparison conditions not established 49 Community Evals
Reported by a third party
Evaluated revision not stated 2026-05-11

Memory Requirements

PrecisionWeights in memory
As published17.5 GB
16-bit17.5 GB
8-bit8.8 GB
4-bit4.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Built on This Model

Compare Qwen3-VL-8B-Instruct

Questions About Qwen3-VL-8B-Instruct

How much GPU memory does Qwen3-VL-8B-Instruct need?

About 21 GB at 16-bit and 5.3 GB at 4-bit: the weights (8.8B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Qwen3-VL-8B-Instruct on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use Qwen3-VL-8B-Instruct commercially?

Yes. Qwen3-VL-8B-Instruct is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is Qwen3-VL-8B-Instruct's context length?

262,144 tokens, from the maximum position embeddings in its published configuration.

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