Qwen3 VL 30B A3B Thinking
Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of visual and textual modalities for strong language grounding. The model supports up to a 1 million-token context window and excels at visual understanding, spatial reasoning, long video comprehension, and tool-based interaction. It can generate code from images, perform precise 2D/3D object grounding, and operate digital interfaces like a visual agent. The “Instruct” version rivals Gemini 2.5 Pro in perception benchmarks, while the “Thinking” version leads in multimodal reasoning and STEM tasks. With multilingual OCR, creative writing, and fine-grained scene interpretation, Qwen3-VL establishes a new open-source frontier for integrated vision-language intelligence.
Identité
| Organisation | Alibaba Cloud / Qwen Team |
|---|---|
| Pays | — |
| Famille | — |
| Type | llm |
| Date de sortie | 2025-09-22 |
| Licence | apache 2.0 |
| Licence commerciale | oui |
| Licence open source | oui |
| Poids ouverts | oui |
| Auto-hébergement (DGX Spark) | oui — ≤ 107 Md (Q8/FP8) |
| Modalités | image|text|video |
| Fenêtre de contexte | 262 144 |
| KV cache / token (Q8) | 49.2 ko/token |
| Paramètres totaux | 31 B |
| Paramètres actifs (session) | 3 B |
| Source des paramètres actifs | actifs : nom (heuristique) ; total : config Hugging Face (Qwen/Qwen3-VL-30B-A3B-Thinking) |
| Curation des paramètres actifs | 2026-11-04 |
| Prix par session | — |
| Tokens / tâche (Data Players) | 1.2 M |
| Tokens / tâche (Terminal-Bench) | 83.3 M (est.) |
| Ratio Terminal-Bench / Data Players | 69.4× |
| Coût / tâche (Terminal-Bench) | — |
| Tokens d'entraînement | — |
| Coupure de connaissance | — |
| Créé le | 2026-05-07T16:53:36.914725Z |
| Mis à jour le | 2026-11-04T06:05:07.347128Z |
| Source | LLM Stats |
| URL | https://llm-stats.com/models/qwen3-vl-30b-a3b-thinking |
Prix par fournisseur
Statut du modèle (offres + auto-hébergement) : partiel — auto-hébergement DGX Spark (≤ 107 Md).
Toutes sources confondues : catalogue llm-stats, routeurs EUrouter/Cortecs et catalogues directs (OVHcloud, Scaleway, Infomaniak). Les prix sont convertis en USD pour la comparaison ; le prix publié et le taux BCE utilisé sont dans l'infobulle. Les prix inconnus restent indiqués « — ».
Aucune donnée.
Souveraineté qualifiée par offre (modèle × fournisseur) ; survolez le badge pour les critères.
SouverainetéScores par catégorie (top_scores)
| Catégorie | Score |
|---|---|
| chat | 3.10 |
| image_to_text | 0.70 |
| instruction_following | 0.80 |
| language | 0.80 |
| legal | 0.80 |
| long_context | 0.60 |
| math | 0.70 |
| multimodal | 1.00 |
| physics | 0.70 |
| reasoning | 0.70 |
| spatial_reasoning | 0.70 |
| structured_output | 0.80 |
| factuality | 0.20 |
| finance | 0.80 |
| general | 0.90 |
| grounding | 0.80 |
| healthcare | 0.80 |
| 3d | 0.70 |
| agents | 0.50 |
| biology | 0.70 |
| chemistry | 0.70 |
| communication | 3.20 |
| creativity | 0.70 |
| economics | 0.60 |
| text-to-image | 0.80 |
| tool_calling | 0.70 |
| video | 0.70 |
| vision | 0.70 |
| writing | 0.70 |
Scores par benchmark
| Benchmark | Catégorie | Score | Max | Normalisé (API) | Vérifié | Auto-déclaré | Daté du |
|---|---|---|---|---|---|---|---|
| ai2d | vision | 0.87 | 1.00 | 0.87 | non | oui | 2026-11-04T06:05:07.387537Z |
| aime-2025 | math | 0.83 | 1.00 | 0.83 | non | oui | 2026-11-04T06:05:07.472002Z |
| arena-hard-v2 | general | 0.57 | 1.00 | 0.57 | non | oui | 2026-11-04T06:05:07.489006Z |
| bfcl-v3 | general | 0.69 | 1.00 | 0.69 | non | oui | 2026-11-04T06:05:07.497956Z |
| blink | vision | 0.65 | 1.00 | 0.65 | non | oui | 2026-11-04T06:05:07.412223Z |
| cc-ocr | vision | 0.78 | 1.00 | 0.78 | non | oui | 2026-11-04T06:05:07.399145Z |
| charadessta | video | 0.63 | 1.00 | 0.63 | non | oui | 2026-11-04T06:05:07.434325Z |
| charxiv-d | reasoning | 0.87 | 1.00 | 0.87 | non | oui | 2026-11-04T06:05:07.402166Z |
| charxiv-r | reasoning | 0.57 | 1.00 | 0.57 | non | oui | 2026-11-04T06:05:07.405437Z |
| creative-writing-v3 | creativity | 0.82 | 1.00 | 0.82 | non | oui | 2026-11-04T06:05:07.491902Z |
| docvqatest | vision | 0.95 | 1.00 | 0.95 | non | oui | 2026-11-04T06:05:07.380629Z |
| erqa | vision | 0.45 | 1.00 | 0.45 | non | oui | 2026-11-04T06:05:07.419228Z |
| gpqa | reasoning | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:07.460530Z |
| hallusion-bench | vision | 0.66 | 1.00 | 0.66 | non | oui | 2026-11-04T06:05:07.374526Z |
| hmmt25 | math | 0.68 | 1.00 | 0.68 | non | oui | 2026-11-04T06:05:07.475098Z |
| ifeval | chat | 0.82 | 1.00 | 0.82 | non | oui | 2026-11-04T06:05:07.485662Z |
| include | general | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:07.506918Z |
| infovqatest | vision | 0.86 | 1.00 | 0.86 | non | oui | 2026-11-04T06:05:07.384251Z |
| livebench-20241125 | math | 0.72 | 1.00 | 0.72 | non | oui | 2026-11-04T06:05:07.478443Z |
| livecodebench-v6 | reasoning | 0.64 | 1.00 | 0.64 | non | oui | 2026-11-04T06:05:07.481383Z |
| lvbench | vision | 0.59 | 1.00 | 0.59 | non | oui | 2026-11-04T06:05:07.431614Z |
| mathvision | math | 0.66 | 1.00 | 0.66 | non | oui | 2026-11-04T06:05:07.360291Z |
| mathvista-mini | math | 0.82 | 1.00 | 0.82 | non | oui | 2026-11-04T06:05:07.356701Z |
| mlvu-m | general | 0.79 | 1.00 | 0.79 | non | oui | 2026-11-04T06:05:07.428432Z |
| mm-mt-bench | chat | 7.90 | 100.00 | 0.08 | non | oui | 2026-11-04T06:05:07.377664Z |
| mmbench-v1.1 | vision | 0.89 | 1.00 | 0.89 | non | oui | 2026-11-04T06:05:07.370888Z |
| mmlu | general | 0.88 | 1.00 | 0.88 | non | oui | 2026-11-04T06:05:07.450264Z |
| mmlu-pro | language | 0.81 | 1.00 | 0.81 | non | oui | 2026-11-04T06:05:07.453098Z |
| mmlu-prox | language | 0.76 | 1.00 | 0.76 | non | oui | 2026-11-04T06:05:07.503996Z |
| mmlu-redux | language | 0.91 | 1.00 | 0.91 | non | oui | 2026-11-04T06:05:07.457503Z |
| mmmu-(val) | vision | 0.76 | 1.00 | 0.76 | non | oui | 2026-11-04T06:05:07.350415Z |
| mmmu-pro | vision | 0.63 | 1.00 | 0.63 | non | oui | 2026-11-04T06:05:07.353632Z |
| mmstar | vision | 0.76 | 1.00 | 0.76 | non | oui | 2026-11-04T06:05:07.367777Z |
| muirbench | vision | 0.78 | 1.00 | 0.78 | non | oui | 2026-11-04T06:05:07.415927Z |
| multi-if | chat | 0.73 | 1.00 | 0.73 | non | oui | 2026-11-04T06:05:07.501001Z |
| mvbench | vision | 0.72 | 1.00 | 0.72 | non | oui | 2026-11-04T06:05:07.422395Z |
| ocrbench | vision | 0.84 | 1.00 | 0.84 | non | oui | 2026-11-04T06:05:07.390354Z |
| ocrbench-v2-(en) | vision | 0.63 | 1.00 | 0.63 | non | oui | 2026-11-04T06:05:07.393263Z |
| ocrbench-v2-(zh) | vision | 0.60 | 1.00 | 0.60 | non | oui | 2026-11-04T06:05:07.396328Z |
| odinw | vision | 0.42 | 1.00 | 0.42 | non | oui | 2026-11-04T06:05:07.408963Z |
| osworld | multimodal | 0.31 | 1.00 | 0.31 | non | oui | 2026-11-04T06:05:07.446932Z |
| polymath | math | 0.52 | 1.00 | 0.52 | non | oui | 2026-11-04T06:05:07.509751Z |
| realworldqa | vision | 0.77 | 1.00 | 0.77 | non | oui | 2026-11-04T06:05:07.364007Z |
| screenspot | vision | 0.95 | 1.00 | 0.95 | non | oui | 2026-11-04T06:05:07.441193Z |
| screenspot-pro | vision | 0.57 | 1.00 | 0.57 | non | oui | 2026-11-04T06:05:07.444056Z |
| simpleqa | factuality | 0.24 | 1.00 | 0.24 | non | oui | 2026-11-04T06:05:07.468883Z |
| supergpqa | reasoning | 0.56 | 1.00 | 0.56 | non | oui | 2026-11-04T06:05:07.464208Z |
| video-mme | multimodal | 0.73 | 1.00 | 0.73 | non | oui | 2026-11-04T06:05:07.425528Z |
| videommmu | multimodal | 0.75 | 1.00 | 0.75 | non | oui | 2026-11-04T06:05:07.438397Z |
| writingbench | writing | 0.85 | 1.00 | 0.85 | non | oui | 2026-11-04T06:05:07.495221Z |
Classements
| Catégorie | Rang | Score | Note conservatrice | Benchmarks évalués | Méthode | Daté du | Provenance |
|---|---|---|---|---|---|---|---|
| agents | 158 | — | 7.11 | 2 | trueskill | 2026-10-20 | model_history |
Données
Dates de curation (récupération depuis l'API) : models 2026-11-04 · benchmarks 2026-11-04 · scores 2026-11-04 · updates 2026-11-04 · account 2026-11-04 · model_history 2026-11-04 · rankings 2026-11-04