--- title: "Qwen3-VL family | Ethical Stack" url: https://ethicalstack.ai/models/qwen3-vl/ catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2 --- # Qwen3-VL family Vision-language models for image/video understanding, spatial reasoning, and tool interaction; dense and MoE checkpoints span 4B to larger server sizes. Canonical profile: https://ethicalstack.ai/models/qwen3-vl/ Scope: Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Published overall: 4.8; 5/6 dimensions rated. Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score. ## Energy practices Finding: 2/10 Assessment: https://ethicalstack.ai/models/qwen3-vl/#energy This is a practices and disclosure score for the named release, not a request-level energy or emissions estimate. Reason: 1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency. Argument: The official model cards provide self-hosted runtime paths but no model-specific energy, emissions, or water measurements. This score rewards a stated operating boundary; it does not infer impact from missing measurements. Type: argument; confidence: low Scope (dimension): Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Research reviewed: not recorded; evidence date: not recorded Unknowns: No per-request electricity, emissions, water, serving mix, or independently reviewed footprint is established in the cited sources. ```json { "method": "practices-transparency-v1", "scope": "Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family.", "components": { "disclosure": { "score": 1, "reason": "The official release materials provide downloadable weights and a local serving path for Qwen3-VL; this establishes an operating boundary, not a measured footprint.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "https://github.com/QwenLM/Qwen3-VL" ] }, "electricity": { "score": 0, "reason": "No model-specific clean-electricity sourcing or hourly power evidence is published in the reviewed sources; zero means unestablished, not dirty electricity.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "https://github.com/QwenLM/Qwen3-VL" ] }, "demand": { "score": 0, "reason": "No model-specific documented control or measured physical resource reduction is established by the reviewed release materials. Public weights or smaller variants alone do not prove reduced resource use.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "https://github.com/QwenLM/Qwen3-VL" ] } }, "actualImpactMeasured": false } ``` - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-VL) (primary; checked 2026-10-24) ## Training data Finding: 2/10 Assessment: https://ethicalstack.ai/models/qwen3-vl/#training-rights The release provides some training-process information, but not a complete permission ledger for inherited and later training data. Reason: 1 base + 1 source transparency + 0 documented permission + 0 creator controls = 2/10. Weight licensing is not treated as corpus permission. Argument: Official cards identify architecture, modalities, and deployment, but the reviewed Qwen3-VL sources do not provide a complete named corpus or permission record for image, video, and text training stages. A public weight license governs use of those weights; it is not proof that every training source was permitted. Type: evidence; confidence: low Scope (dimension): Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Research reviewed: not recorded; evidence date: not recorded Unknowns: Complete source lists, source-specific rights, inherited-base provenance, synthetic-data generation permissions, and creator removal or retraining remedies remain unestablished. ```json { "method": "training-rights-evidence-v1", "scope": "Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family.", "components": { "provenance": { "score": 1, "reason": "Official cards identify architecture, modalities, and deployment, but the reviewed Qwen3-VL sources do not provide a complete named corpus or permission record for image, video, and text training stages.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "https://github.com/QwenLM/Qwen3-VL" ] }, "permissions": { "score": 0, "reason": "A model-weight license governs the released checkpoint, not automatically the training corpus. The reviewed release does not establish affirmative rights for all inherited and post-training material.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "https://github.com/QwenLM/Qwen3-VL" ] }, "creatorControls": { "score": 0, "reason": "The reviewed model documentation does not establish a corpus-wide creator permission, opt-out, removal, or retraining remedy for this model family.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "https://github.com/QwenLM/Qwen3-VL" ] } }, "routeDependency": null, "modelReference": null } ``` - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-VL) (primary; checked 2026-10-24) ## Your data & privacy Finding: Not enough evidence Assessment: https://ethicalstack.ai/models/qwen3-vl/#privacy Privacy depends on where these released weights are run; the model family has no single prompt-retention or training route. Reason: Depends on the selected inference host; do not transfer the model license to a hosting provider’s privacy practices. Argument: The official release makes weights available for separate deployments, but it does not define one inference host or retention policy for every user. Local and hosted operators may handle prompts differently, so a single numerical privacy grade would misstate this model-level entry. Type: argument; confidence: high Scope (profile): Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Research reviewed: not recorded; evidence date: not recorded Unknowns: The user-selected host, region, telemetry, logging, extensions, and provider training terms are outside the checkpoint release and require a route-specific review. - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-VL) (primary; checked 2026-10-24) ## Openness Finding: 7/10 Assessment: https://ethicalstack.ai/models/qwen3-vl/#openness Weights, code, model cards, and Apache 2.0 terms are public, enabling substantial technical use. Multimodal source provenance and a complete reproducible training recipe remain limited. Reason: Apache 2.0 is listed on the cited Qwen3-VL cards; check exact terms for each release. Model weights and documentation are available, but limitations described above reduce source-level reproducibility. Argument: Weights, code, model cards, and Apache 2.0 terms are public, enabling substantial technical use. Multimodal source provenance and a complete reproducible training recipe remain limited. This openness rating concerns artifacts and reproducibility only; it does not assess whether the original training corpus was authorized. Type: argument; confidence: medium Scope (profile): Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Research reviewed: not recorded; evidence date: not recorded Unknowns: The checked release and license apply to the named checkpoints; sibling variants, future versions, and the underlying corpus may have different terms or disclosures. - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-VL) (primary; checked 2026-10-24) ## Worker protections Finding: 6/10 Assessment: https://ethicalstack.ai/models/qwen3-vl/#labour Alibaba publishes group workforce indicators, an Employee Rights Code, employee reporting channels and compliance processes; these describe Alibaba employees, not the AI data-labeling supply chain. Reason: 1 base + 2 conditions + 2 worker voice/remedy + 1 evidence/follow-through = 6/10. This grades documented safeguards, not proven mistreatment. Argument: Alibaba’s ESG employee-development pages report workforce composition and employee participation indicators, while its integrity and governance pages describe code compliance, reporting channels, compliance processes, and board oversight. These are concrete group-level employee systems, but public detail on annotation, evaluation, content moderation, and infrastructure contractor conditions or outcomes remains limited. Type: argument; confidence: medium Scope (dimension): Alibaba / Qwen workforce evidence; not a claim that these group systems cover Qwen3-VL data or contractors. Research reviewed: not recorded; evidence date: not recorded Unknowns: The reviewed pages do not establish AI-data subcontractor coverage, worker-level wage/hour outcomes, case counts or remediation outcomes for labor reports, or independent labor-audit results. ```json { "method": "worker-safeguards-evidence-v1", "entity": "models/qwen3-vl", "company": "", "scope": "Alibaba / Qwen workforce evidence; not a claim that these group systems cover Qwen3-VL data or contractors.", "components": { "conditions": { "score": 2, "reason": "Company ESG disclosures report workforce composition and employee participation indicators and describe employee-rights standards; this is concrete employee evidence but does not demonstrate coverage of AI data work or contractors.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/esg-employee-development", "https://www.alibabagroup.com/en-US/integrity-compliance", "https://www.alibabagroup.com/en-US/esg-governance", "https://www.alibabagroup.com/en-US/esg-resource" ] }, "voice": { "score": 2, "reason": "Alibaba describes employee reporting and escalation channels, privacy/non-retaliation protections, and dedicated compliance processes; public labor-specific case outcomes were not located.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/esg-employee-development", "https://www.alibabagroup.com/en-US/integrity-compliance", "https://www.alibabagroup.com/en-US/esg-governance", "https://www.alibabagroup.com/en-US/esg-resource" ] }, "assurance": { "score": 1, "reason": "Governance materials describe compliance training and audit/control processes, but the reviewed public disclosures do not provide independent worker-level labor assurance or remediation results.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/esg-employee-development", "https://www.alibabagroup.com/en-US/integrity-compliance", "https://www.alibabagroup.com/en-US/esg-governance", "https://www.alibabagroup.com/en-US/esg-resource" ] } }, "disclosureLimited": false } ``` - [Alibaba group workforce and governance disclosures](https://www.alibabagroup.com/en-US/esg-employee-development) (primary; checked not recorded) - [Alibaba group workforce and governance disclosures](https://www.alibabagroup.com/en-US/integrity-compliance) (primary; checked not recorded) - [Alibaba group workforce and governance disclosures](https://www.alibabagroup.com/en-US/esg-governance) (primary; checked not recorded) - [Alibaba group workforce and governance disclosures](https://www.alibabagroup.com/en-US/esg-resource) (primary; checked not recorded) ## Military ties Finding: 7/10 Assessment: https://ethicalstack.ai/models/qwen3-vl/#military-contracts Qwen3-VL uses Apache 2.0 terms. Alibaba publishes military restrictions for the separate QwenWork hosted service; they do not apply to these weights. Reason: 7 base + 0 safeguard adjustment = 7/10 (1 of 9 safeguard points; every 3 adds 1). No military relationship was established in the cited sources. This ranks above known defense ties without claiming a verified clean record. Argument: The Qwen3-VL checkpoint is published under Apache 2.0, which has no military-purpose ban. Alibaba separately bars specified military uses in QwenWork service terms, but that hosted contract does not govern self-hosted weights. No Qwen3-VL defense contract or deployment was established. Type: argument; confidence: low Scope (profile): Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Research reviewed: not recorded; evidence date: not recorded Unknowns: The reviewed sources do not establish military customers or use of Qwen3-VL, nor do QwenWork service controls extend to copies of the Apache-licensed checkpoint. ```json { "method": "military-ties-priority-v2", "entity": "models/qwen3-vl", "company": "", "scope": "The named developer or operator", "components": { "restrictions": { "score": 0, "reason": "Apache 2.0 for this checkpoint does not impose a military-use prohibition; QwenWork’s separate service terms do not change the weight license.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct/blob/main/LICENSE" ] }, "oversight": { "score": 0, "reason": "QwenWork service controls do not provide oversight over independently downloaded Qwen3-VL weights.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct/blob/main/LICENSE", "https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html" ] }, "transparency": { "score": 1, "reason": "Alibaba publicly discloses use restrictions for QwenWork, while the reviewed materials do not identify a Qwen3-VL military contract or deployment.", "sourceUrls": [ "https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html", "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct" ] } }, "disclosureLimited": true, "relationship": "not-established", "relationshipReason": "A separate Alibaba hosted service has military-use terms; that does not establish a defense relationship or apply those terms to Qwen3-VL weights.", "score": 7, "baseScore": 7, "safeguardPoints": 1, "safeguardAdjustment": 0, "rawScore": 7, "cap": null } ``` - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) (primary; checked 2026-10-24) - [Qwen3-VL release material](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct/blob/main/LICENSE) (primary; checked not recorded) - [QwenWork Terms of Service](https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html) (primary; checked not recorded) ## BDS targets Finding: Not listed Assessment: https://ethicalstack.ai/models/qwen3-vl/#israel-palestine Alibaba Cloud / Qwen team is not named in the two official BNC campaign lists checked. This is a limited list check, not BDS approval. Reason: Campaign category, excluded from numerical scoring. Argument: The official BNC consumer boycott/pressure guide and No Tech campaign page do not name Alibaba Cloud / Qwen team among their current targets. BDS uses selective campaigns, so absence from these lists is neutral and does not establish a clean record or approval. Type: argument; confidence: medium Scope (profile): Qwen3-VL released text/vision checkpoints, distinct from general Qwen3.8 and the Coder-Next family. Research reviewed: not recorded; evidence date: not recorded Unknowns: This check covers only named targets in the two cited BNC campaigns; it does not cover all BDS campaigns, local groups, investments, suppliers, or downstream hosts. Lists and ownership may change. - [BNC official campaign target list](https://bdsmovement.net/Guide-to-BDS-Boycott) (primary; checked 2026-10-24) - [BNC official campaign target list](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (primary; checked 2026-10-24) ## Reading the evidence - Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns. - Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct. - Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment. - Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap. - Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical. - No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score. - Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification. Methodology: https://ethicalstack.ai/methodology/