Qwen3-VL-8B-Thinking
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 8B Thinking: Specs, GPU requirements, hosting & deployment
Qwen3-VL 8B Thinking is a current Vision release in the Qwen family, certified from its immutable official source revision.
Total parameters8.0B
Active parametersDense model
Context window262,144 tokens
Release statusCurrent · Current
ArchitectureQwen3VLForConditionalGeneration
ModalitiesText, Image, Video
LicenseApache License 2.0
Deployment stateDeployable with certified configuration
Commercial stateCommercial Use Allowed
Release date2025-10-11
Architecture, strengths and use cases
Qwen3-VL 8B Thinking is an official self-hostable Qwen release in the Qwen Vision track. It uses Qwen3VLForConditionalGeneration, carries 8B, 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 8B Thinking uses Qwen3VLForConditionalGeneration with 8B. The stored architecture profile records 36 layers, hidden width 4096, 32 attention heads and a 262,144 token context ceiling where the official configuration publishes those fields.
Verified Qwen3VLForConditionalGeneration 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 memory15.35 GB
KV cache1.13 GB
Runtime overhead7.69 GB
Total with safety margin29.96 GB
Recommended best value
1× NVIDIA A100 SXM 80GB
80 GB total VRAM · nvlink
50.04 GB headroom · Available
USD 915 / monthLowest-cost viable
2× NVIDIA L4 24GB
48 GB total VRAM · pcie
18.04 GB headroom · Available
USD 500 / monthHighest performance
1× NVIDIA H200 SXM 141GB
141 GB total VRAM · nvswitch
111.04 GB headroom · Limited capacity
USD 2,345 / monthLicense and self-hosting considerations
The full 8B 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 8B Thinking 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 Instruct, Qwen3-VL 30B-A3B Thinking
Release timeline
qwen/qwen/qwen3-vl-8b-thinking
Source details
Source revision: efcf28be5e5b19b8e5ffeab629393ec8d0873df819088ff4c4a31dfc17abb279
Frequently asked questions
How much VRAM does Qwen3-VL 8B Thinking 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 8B Thinking?
Certified upstream runtime evidence is available for transformers.
Can Qwen3-VL 8B Thinking 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