Qwen3 VL 4B Instruct
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 |
| Fenêtre de contexte | 262 144 |
| KV cache / token (Q8) | 73.7 ko/token |
| Paramètres totaux | 4 B |
| Paramètres actifs (session) | 4.44 B |
| Source des paramètres actifs | actifs = total (modèle dense, config HF (Qwen/Qwen3-VL-4B-Instruct)) ; total : config Hugging Face (Qwen/Qwen3-VL-4B-Instruct) |
| 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 | 2026-05-07T16:53:37.325260Z |
| Mis à jour le | 2026-11-04T06:05:07.795179Z |
| Source | LLM Stats |
| URL | https://llm-stats.com/models/qwen3-vl-4b-instruct |
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 | 4.20 |
| image_to_text | 0.70 |
| instruction_following | 0.80 |
| language | 0.70 |
| legal | 0.70 |
| long_context | 0.60 |
| math | 0.60 |
| multimodal | 0.90 |
| physics | 0.40 |
| reasoning | 0.60 |
| spatial_reasoning | 0.60 |
| structured_output | 0.70 |
| factuality | 0.50 |
| finance | 0.60 |
| general | 0.80 |
| grounding | 0.80 |
| healthcare | 0.60 |
| 3d | 0.70 |
| agents | 0.40 |
| chemistry | 0.40 |
| communication | 4.20 |
| creativity | 0.80 |
| economics | 0.40 |
| text-to-image | 0.80 |
| tool_calling | 0.60 |
| video | 0.60 |
| vision | 0.60 |
| writing | 0.80 |
Scores par benchmark
| Benchmark | Catégorie | Score | Max | Normalisé (API) | Vérifié | Auto-déclaré | Daté du |
|---|---|---|---|---|---|---|---|
| ai2d | vision | 0.84 | 1.00 | 0.84 | non | oui | 2026-11-04T06:05:07.833477Z |
| aime-2025 | math | 0.47 | 1.00 | 0.47 | non | oui | 2026-11-04T06:05:07.902593Z |
| bfcl-v3 | general | 0.63 | 1.00 | 0.63 | non | oui | 2026-11-04T06:05:07.919187Z |
| blink | vision | 0.66 | 1.00 | 0.66 | non | oui | 2026-11-04T06:05:07.855824Z |
| cc-ocr | vision | 0.76 | 1.00 | 0.76 | non | oui | 2026-11-04T06:05:07.844702Z |
| charadessta | video | 0.56 | 1.00 | 0.56 | non | oui | 2026-11-04T06:05:07.876490Z |
| charxiv-d | reasoning | 0.76 | 1.00 | 0.76 | non | oui | 2026-11-04T06:05:07.847524Z |
| charxiv-r | reasoning | 0.40 | 1.00 | 0.40 | non | oui | 2026-11-04T06:05:07.850157Z |
| docvqatest | vision | 0.95 | 1.00 | 0.95 | non | oui | 2026-11-04T06:05:07.827382Z |
| erqa | vision | 0.41 | 1.00 | 0.41 | non | oui | 2026-11-04T06:05:07.861387Z |
| hallusion-bench | vision | 0.58 | 1.00 | 0.58 | non | oui | 2026-11-04T06:05:07.821663Z |
| hmmt25 | math | 0.31 | 1.00 | 0.31 | non | oui | 2026-11-04T06:05:07.905383Z |
| ifeval | chat | 0.82 | 1.00 | 0.82 | non | oui | 2026-11-04T06:05:07.913715Z |
| include | general | 0.61 | 1.00 | 0.61 | non | oui | 2026-11-04T06:05:07.925337Z |
| infovqatest | vision | 0.80 | 1.00 | 0.80 | non | oui | 2026-11-04T06:05:07.830252Z |
| livebench-20241125 | math | 0.61 | 1.00 | 0.61 | non | oui | 2026-11-04T06:05:07.908204Z |
| livecodebench-v6 | reasoning | 0.38 | 1.00 | 0.38 | non | oui | 2026-11-04T06:05:07.910964Z |
| lvbench | vision | 0.56 | 1.00 | 0.56 | non | oui | 2026-11-04T06:05:07.873460Z |
| mathvision | math | 0.52 | 1.00 | 0.52 | non | oui | 2026-11-04T06:05:07.807292Z |
| mathvista-mini | math | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:07.804219Z |
| mlvu-m | general | 0.75 | 1.00 | 0.75 | non | oui | 2026-11-04T06:05:07.868119Z |
| mm-mt-bench | chat | 7.50 | 100.00 | 0.07 | non | oui | 2026-11-04T06:05:07.824524Z |
| mmbench-v1.1 | vision | 0.85 | 1.00 | 0.85 | non | oui | 2026-11-04T06:05:07.815833Z |
| mmlu | general | 0.77 | 1.00 | 0.77 | non | oui | 2026-11-04T06:05:07.891138Z |
| mmlu-pro | language | 0.67 | 1.00 | 0.67 | non | oui | 2026-11-04T06:05:07.894064Z |
| mmlu-prox | language | 0.59 | 1.00 | 0.59 | non | oui | 2026-11-04T06:05:07.921988Z |
| mmlu-redux | language | 0.81 | 1.00 | 0.81 | non | oui | 2026-11-04T06:05:07.897124Z |
| mmmu-(val) | vision | 0.67 | 1.00 | 0.67 | non | oui | 2026-11-04T06:05:07.798602Z |
| mmmu-pro | vision | 0.53 | 1.00 | 0.53 | non | oui | 2026-11-04T06:05:07.801446Z |
| mmstar | vision | 0.70 | 1.00 | 0.70 | non | oui | 2026-11-04T06:05:07.812953Z |
| muirbench | vision | 0.64 | 1.00 | 0.64 | non | oui | 2026-11-04T06:05:07.858601Z |
| mvbench | vision | 0.69 | 1.00 | 0.69 | non | oui | 2026-11-04T06:05:07.865310Z |
| ocrbench | vision | 0.88 | 1.00 | 0.88 | non | oui | 2026-11-04T06:05:07.836391Z |
| ocrbench-v2-(en) | vision | 0.64 | 1.00 | 0.64 | non | oui | 2026-11-04T06:05:07.839113Z |
| ocrbench-v2-(zh) | vision | 0.58 | 1.00 | 0.58 | non | oui | 2026-11-04T06:05:07.841949Z |
| odinw | vision | 0.48 | 1.00 | 0.48 | non | oui | 2026-11-04T06:05:07.852922Z |
| osworld | multimodal | 0.26 | 1.00 | 0.26 | non | oui | 2026-11-04T06:05:07.888420Z |
| polymath | math | 0.29 | 1.00 | 0.29 | non | oui | 2026-11-04T06:05:07.928267Z |
| realworldqa | vision | 0.71 | 1.00 | 0.71 | non | oui | 2026-11-04T06:05:07.810167Z |
| screenspot | vision | 0.94 | 1.00 | 0.94 | non | oui | 2026-11-04T06:05:07.882194Z |
| screenspot-pro | vision | 0.59 | 1.00 | 0.59 | non | oui | 2026-11-04T06:05:07.885273Z |
| simpleqa | factuality | 0.48 | 1.00 | 0.48 | non | oui | 2026-11-04T06:05:07.818651Z |
| supergpqa | reasoning | 0.40 | 1.00 | 0.40 | non | oui | 2026-11-04T06:05:07.899825Z |
| videommmu | multimodal | 0.56 | 1.00 | 0.56 | non | oui | 2026-11-04T06:05:07.879460Z |
| writingbench | writing | 0.82 | 1.00 | 0.82 | non | oui | 2026-11-04T06:05:07.916385Z |
Classements
| Catégorie | Rang | Score | Note conservatrice | Benchmarks évalués | Méthode | Daté du | Provenance |
|---|---|---|---|---|---|---|---|
| agents | 189 | — | 2.11 | 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