Qwen3-VL-30B-A3B-Instruct

Language Alibaba Qwen Partly verified Released Sep 30, 2025
  • In Input modalities: TextImageVideo Out Output modalities: Text
  • Tool use
  • Structured output
  • Open weights

Prices

3 offerings · prices as listed
Alibaba Cloud Model Studio (opens in a new tab) Official International · USD qwen3-vl-30b-a3b-instruct
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 $0.20$0.80

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Oct 11, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Global · USD qwen3-vl-30b-a3b-instruct
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 $0.108$0.431

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Oct 11, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official China · CNY qwen3-vl-30b-a3b-instruct
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 ¥0.75¥3.00

Prices from 阿里云百炼:模型价格 (opens in a new tab) (checked Oct 6, 2026)

Standard: the price a request with no conditions pays (the headline price elsewhere on the site).

Details

Reasoning
—
Licence
Apache-2.0
Family
qwen-vl
Model ID

Not stated on Alibaba Qwen’s pages: max input, reasoning efforts, max thinking budget, built-in tools, knowledge cutoff, aliases.

Run locally

Weights: Qwen/Qwen3-VL-30B-A3B-Instruct
  • Parameters 31.1B
  • Active 3.9B (estimated) · 128 experts, 8 per token
  • Native precision BF16
  • Layers 48
  • KV cache per token 96 KB
  • Config positions 256K (config.json max_position_embeddings)
  • API context 128K (maker’s API)
My hardware GeForce RTX 4090 24 GB · 1008 GB/s · 64 GB DDR5 dual channel · 89.6 GB/s
On your hardware · GeForce RTX 4090
Runs well Q4_K_M (automatic) 8K context 161–242 tok/sOne GPU
WeightsKV cacheOverheadUsable
Needs
≈ 18.9 GB (weights 17.3 (maker’s file) + KV cache 0.8 + overhead 0.9)
Usable
21.6 GB (90% of its memory)
Generation speed
161–242 tok/s (reads the active 3.9B per token)
Longest context
37K (longer doesn’t fit)
First token
about 0.13–0.19 s for a 2K prompt
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)maker’s file57.9 GB≈ 61.5Needs system memory 11–17 tok/s—
Q8_0maker’s file30.3 GB≈ 32.5Needs system memory 26–38 tok/s—
FP8maker’s file30.0 GB≈ 32.3Needs system memory 26–39 tok/s—
Q6_K23.8 GB≈ 25.7Needs system memory 54–81 tok/s—
Q5_K_M20.6 GB≈ 22.4Needs system memory 128–191 tok/s—
Q5_019.9 GB≈ 21.6Needs system memory 155–233 tok/s—
Q4_K_Mmaker’s file17.3 GB≈ 18.9Runs well 161–242 tok/s37K
Q4_016.3 GB≈ 17.8Runs well 168–252 tok/s48K
IQ4_XS15.4 GB≈ 16.9Runs well 175–263 tok/s58K
Q3_K_Mquality drops14.1 GB≈ 15.6Runs well 186–279 tok/s72K
IQ3_XXSquality drops11.1 GB≈ 12.4Runs well 220–330 tok/s106K
Q2_Kquality drops10.9 GB≈ 12.1Runs well 223–334 tok/s109K
IQ2_XXSquality drops7.5 GB≈ 8.7Runs well 279–418 tok/s128K

Click a row to choose a precision. “Maker’s file” sizes are the maker’s own files; others are parameters × bits per weight.

Compared with other hardware

Each at the highest precision it runs. Click one for details.

Smallest that runs it (Q4_K_M, 8K): GPU GeForce RTX 4090; unified memory Apple M6 (24GB or 32GB) · 32 GB.

Run commands

llama.cpp
llama-server -hf Qwen/Qwen3-VL-30B-A3B-Instruct-GGUF:Q4_K_M -c 8192
Ollama
ollama run hf.co/Qwen/Qwen3-VL-30B-A3B-Instruct-GGUF:Q4_K_M
Memory to fine-tune
Full≈ 465.2 GBDoesn’t fit your hardware
LoRA≈ 60.2 GBDoesn’t fit your hardware
QLoRA≈ 18.6 GBFits your hardware

Batch 1, 2,048-token sequences, gradient checkpointing; LoRA and QLoRA train rank-16 adapters on the attention projections.

Estimates; facts from the maker’s Hugging Face repositories, as of 2026-11-06. How it’s estimated

Cited scores

From third-party leaderboards, not measured by us

This model isn’t on any leaderboard we cite yet.

No changes recorded yet.

Sources

Alibaba Qwen’s official policies: data use, privacy, terms →

Some values on this page are still waiting to be checked against official pages: a filled dot is verified, a hollow one is not yet (with or without a source on file). How we verify data

Alibaba Qwen · China · qwen.ai

Snapshots, the same family and other models from this provider