Qwen3-VL-30B-A3B-Instruct
Qwen/Qwen3-VL-30B-A3B-Instruct
Official · BF16 · safetensors
Runtime certified: Transformers
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| BF16 | safetensors | 16 | Official | Runtime certified |
Qwen · Vision · Qwen3-VL
Qwen3-VL 30B-A3B Instruct: Specs, GPU requirements, hosting & deployment
Qwen3-VL 30B-A3B Instruct is a current Vision release in the Qwen family, certified from its immutable official source revision.
Total parameters30.5B
Active parameters3.3B
Context window262,144 tokens
Release statusCurrent · Current
ArchitectureQwen3VLMoeForConditionalGeneration
ModalitiesText, Image, Video
LicenseApache License 2.0
Deployment stateDeployable with certified configuration
Commercial stateCommercial Use Allowed
Release date2025-09-30
Architecture, strengths and use cases
Qwen3-VL 30B-A3B Instruct is an official self-hostable Qwen release in the Qwen Vision track. It uses Qwen3VLMoeForConditionalGeneration, carries 30.5B / 3.3B MoE, supports a verified context window of 262,144 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.
Qwen3-VL 30B-A3B Instruct uses Qwen3VLMoeForConditionalGeneration with 30.5B / 3.3B MoE. The stored architecture profile records 48 layers, hidden width 2048, 32 attention heads and a 262,144 token context ceiling where the official configuration publishes those fields.
Verified Qwen3VLMoeForConditionalGeneration architecture
262,144 token certified context
Official BF16, Unknown checkpoint coverage
Private LLM inference
Agentic workflows
Long-context document processing
Vision-language analysis
Certified checkpoints and quantizations
Only exact, source-certified variants attached to this release are shown.
Recommended hardware
Use only the listed transformers runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.
Estimated weight memory58.51 GB
KV cache0.75 GB
Runtime overhead15.39 GB
Total with safety margin92.57 GB
Recommended best value
2× NVIDIA A100 SXM 80GB
160 GB total VRAM · nvlink
67.43 GB headroom · Available
USD 1,830 / monthLowest-cost viable
4× NVIDIA L4 24GB
96 GB total VRAM · pcie
3.43 GB headroom · Available
USD 1,000 / monthHighest performance
2× NVIDIA A100 SXM 80GB
160 GB total VRAM · nvlink
67.43 GB headroom · Available
USD 1,830 / monthLicense and self-hosting considerations
The full 30.5B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.
Qwen3-VL 30B-A3B Instruct is published under Apache License 2.0. The release-scoped official license link and verification date are retained with the catalogue record.
Commercial Use Allowed. The official license permits commercial use; its obligations still apply.
Alternatives and sibling variants
Qwen3-VL 8B Instruct, Qwen3-VL 235B-A22B Instruct, Qwen3-VL 235B-A22B Thinking, Qwen3-VL 32B Instruct, Qwen3-VL 32B Thinking, Qwen3-VL 30B-A3B Thinking, Qwen3-VL 8B Thinking
Release timeline
qwen/qwen/qwen3-vl-30b-a3b-instruct
Source details
Source revision: 22a551d409dbe1c42a25204a48587c2336be075472f27d6879f32386d65dec31
Frequently asked questions
How much VRAM does Qwen3-VL 30B-A3B Instruct require?
The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.
Which runtimes support Qwen3-VL 30B-A3B Instruct?
Certified upstream runtime evidence is available for transformers.
Can Qwen3-VL 30B-A3B Instruct be used commercially?
The stored commercial classification is Commercial Use Allowed. Consult the official Apache License 2.0 terms for the final obligations.
Official references
Last verified: 2026-08-26