--- title: "Qwen3-Coder-Next | Ethical Stack" url: https://ethicalstack.ai/models/qwen3-coder-next/ catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2 --- # Qwen3-Coder-Next Coding-agent model with 80B total and 3B active parameters, native 256K context, and tool-use/recovery training; published for local development and common coding harnesses. Canonical profile: https://ethicalstack.ai/models/qwen3-coder-next/ Scope: Qwen3-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8. Published overall: 5; 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-coder-next/#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 Coder-Next card provides a local serving path but no energy, emissions, water, or quantified training-power data. This score rewards a stated operating boundary; it does not infer impact from missing measurements. Type: argument; confidence: low Scope (dimension): Qwen3-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8. 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-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8.", "components": { "disclosure": { "score": 1, "reason": "The official release materials provide downloadable weights and a local serving path for Qwen3-Coder-Next; this establishes an operating boundary, not a measured footprint.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-Coder-Next", "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "https://github.com/QwenLM/Qwen3-Coder" ] }, "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-Coder-Next", "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "https://github.com/QwenLM/Qwen3-Coder" ] }, "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-Coder-Next", "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "https://github.com/QwenLM/Qwen3-Coder" ] } }, "actualImpactMeasured": false } ``` - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-Coder-Next) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-Coder-Next-Base) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-Coder) (primary; checked 2026-10-24) ## Training data Finding: 3/10 Assessment: https://ethicalstack.ai/models/qwen3-coder-next/#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 + 1 documented permission + 0 creator controls = 3/10. Weight licensing is not treated as corpus permission. Argument: The model card describes the training stages and data foundation at a high level, but the reviewed sources do not provide a complete named dataset and permission ledger. A public weight license governs use of those weights; it is not proof that every training source was permitted. Type: evidence; confidence: medium Scope (dimension): Qwen3-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8. 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-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8.", "components": { "provenance": { "score": 1, "reason": "The model card describes the training stages and data foundation at a high level, but the reviewed sources do not provide a complete named dataset and permission ledger.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-Coder-Next", "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "https://github.com/QwenLM/Qwen3-Coder" ] }, "permissions": { "score": 1, "reason": "Some named or permissively licensed material is described, but the sources do not establish permission for the full inherited and later-stage corpus.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3-Coder-Next", "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "https://github.com/QwenLM/Qwen3-Coder" ] }, "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-Coder-Next", "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "https://github.com/QwenLM/Qwen3-Coder" ] } }, "routeDependency": null, "modelReference": null } ``` - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-Coder-Next) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-Coder-Next-Base) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-Coder) (primary; checked 2026-10-24) ## Your data & privacy Finding: Not enough evidence Assessment: https://ethicalstack.ai/models/qwen3-coder-next/#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-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8. 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-Coder-Next) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-Coder-Next-Base) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-Coder) (primary; checked 2026-10-24) ## Openness Finding: 7/10 Assessment: https://ethicalstack.ai/models/qwen3-coder-next/#openness Apache-licensed weights and technical details are public, with multiple officially maintained checkpoints. Training-data provenance and end-to-end recipe remain partial, separate from the weights license. Reason: Apache 2.0 is listed for Qwen3-Coder-Next; confirm derived or quantized checkpoint terms separately. Model weights and documentation are available, but limitations described above reduce source-level reproducibility. Argument: Apache-licensed weights and technical details are public, with multiple officially maintained checkpoints. Training-data provenance and end-to-end recipe remain partial, separate from the weights license. 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-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8. 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-Coder-Next) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/Qwen/Qwen3-Coder-Next-Base) (primary; checked 2026-10-24) - [Official source repository](https://github.com/QwenLM/Qwen3-Coder) (primary; checked 2026-10-24) ## Worker protections Finding: 6/10 Assessment: https://ethicalstack.ai/models/qwen3-coder-next/#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 and disclosed suppliers; model-specific coverage may be incomplete. 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-coder-next", "company": "", "scope": "Alibaba / Qwen workforce and disclosed suppliers; model-specific coverage may be incomplete.", "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 ESG employee development and Employee Rights Code](https://www.alibabagroup.com/en-US/esg-employee-development) (primary; checked 2026-10-24) - [Alibaba Integrity and Compliance reporting](https://www.alibabagroup.com/en-US/integrity-compliance) (primary; checked 2026-10-24) - [Alibaba ESG governance](https://www.alibabagroup.com/en-US/esg-governance) (primary; checked 2026-10-24) - [Alibaba ESG resources and ratings](https://www.alibabagroup.com/en-US/esg-resource) (primary; checked 2026-10-24) ## Military ties Finding: 7/10 Assessment: https://ethicalstack.ai/models/qwen3-coder-next/#military-contracts Qwen3.8’s released model licenses do not establish a military-use ban. Alibaba publishes stronger rules for its separate QwenWork hosted service; no Qwen3.8 military contract was established. 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 Qwen3.8-27B release uses Apache 2.0, while the larger Qwen3.8 release has its own license. Neither reviewed release license carries the QwenWork hosted-service military restrictions. QwenWork prohibits specified weapons and military end uses and permits service enforcement, but that separate contract does not establish controls on downloaded Qwen3.8 weights. No Alibaba military contract or Qwen3.8 deployment was established in this bounded source review. Type: argument; confidence: low Scope (dimension): Qwen3.8 released weights and disclosed Alibaba relationships. QwenWork hosted terms are a separate policy and do not score the downloaded models. Research reviewed: not recorded; evidence date: not recorded Unknowns: The reviewed QwenWork contract does not establish an Alibaba defense relationship or a companywide model restriction. Self-hosted Qwen3.8-27B and Qwen3.8-Max use separate licenses; undisclosed contracts, deployments, and enforcement outcomes remain unknown. ```json { "method": "military-ties-priority-v2", "entity": "models/qwen3-coder-next", "company": "", "scope": "Qwen3.8 released weights and disclosed Alibaba relationships. QwenWork hosted terms are a separate policy and do not score the downloaded models.", "components": { "restrictions": { "score": 0, "reason": "The reviewed Qwen3.8 release licenses do not impose a specific military-purpose ban. Restrictions in the separate QwenWork customer contract are not applied to these weights.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE", "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE" ] }, "oversight": { "score": 0, "reason": "Hosted-service suspension rights do not establish monitoring or enforcement over downloaded Qwen3.8 copies. No release-specific military oversight was established.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE", "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE" ] }, "transparency": { "score": 1, "reason": "Alibaba publishes the release licenses and a separate hosted military-use policy, making the scope distinction inspectable. No military customer or deployment record is established.", "sourceUrls": [ "https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE", "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE", "https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html" ] } }, "disclosureLimited": true, "relationship": "not-established", "relationshipReason": "The QwenWork hosted-service terms include product-specific use safeguards, but no Alibaba defense contract or military deployment was established in reviewed materials. Its Qwen3.8 model repositories have distinct licenses, so the QwenWork safeguards are not attributed to self-hosted weights or treated as evidence of a military relationship.", "score": 7, "baseScore": 7, "safeguardPoints": 1, "safeguardAdjustment": 0, "rawScore": 7, "cap": null } ``` - [QwenWork Terms of Service](https://terms.alicdn.com/legal-agreement/terms/common_product_agreement/20260805095132623/20260805095132623.html) (primary; checked 2026-10-24) - [Qwen3.8-27B model repository license (Apache-2.0)](https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE) (primary; checked 2026-10-24) - [Qwen3.8-Max model repository license](https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B/blob/main/LICENSE) (primary; checked 2026-10-24) - [Alibaba Model Governance and Qwen use guidance](https://home.alibabagroup.com/en-US/ai-governance/governance) (primary; checked 2026-10-24) ## BDS targets Finding: Not listed Assessment: https://ethicalstack.ai/models/qwen3-coder-next/#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-Coder-Next base/instruct and official precision variants, a distinct coding-agent family from general Qwen3.8. 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/