Qwen3.6 Plus
Qwen3.6 Plus is Alibaba's next-generation flagship model featuring a 1 million token native context window, up to 65,536 output tokens, and always-on chain-of-thought reasoning. It uses a next-generation hybrid architecture optimized for efficiency and scalability. It leads on Terminal-Bench 2.0 agentic coding (61.6), surpassing Claude 4.5 Opus, and achieves strong results on document understanding (OmniDocBench 91.2) and multimodal reasoning (MMMU 86.0). Compared to Qwen 3.5, it is significantly more decisive in reasoning, using fewer tokens on straightforward tasks with better agent stability.
Identité
| Organisation | Alibaba Cloud / Qwen Team |
|---|---|
| Pays | — |
| Famille | — |
| Type | llm |
| Date de sortie | 2026-03-31 |
| Licence | proprietary |
| Licence commerciale | non |
| Licence open source | non |
| Poids ouverts | non |
| Auto-hébergement (DGX Spark) | non — poids fermés |
| Modalités | image|text|video |
| Fenêtre de contexte | 1 000 000 |
| KV cache / token (Q8) | — |
| Paramètres totaux | — |
| Paramètres actifs (session) | — |
| Source des paramètres actifs | — |
| Curation des paramètres actifs | — |
| Prix par session | 1.10 $ (1 000 000 tokens entrée + 200 000 sortie, prix le moins cher par fournisseur) |
| 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) | 9.24 $ (est.) |
| Tokens d'entraînement | — |
| Coupure de connaissance | — |
| Créé le | 2026-05-07T16:53:39.286621Z |
| Mis à jour le | 2026-11-04T06:05:11.160207Z |
| Source | LLM Stats |
| URL | https://llm-stats.com/models/qwen3.6-plus |
Prix par fournisseur
Statut du modèle (offres + auto-hébergement) : non.
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 « — ».
| Fournisseur | Source | Souveraineté | Entrée (/M tok) | Sortie (/M tok) | Quantification | Contexte | Latence (s) | Débit (tok/s) | Statut |
|---|---|---|---|---|---|---|---|---|---|
| Novita | llm-stats | non | 0.50 $ | 3.00 $ | — | — | — | — | active |
| Together AI | llm-stats | non | 0.50 $ | 3.00 $ | — | — | — | — | active |
Souveraineté qualifiée par offre (modèle × fournisseur) ; survolez le badge pour les critères.
SouverainetéScores par catégorie (top_scores)
| Catégorie | Score |
|---|---|
| chat | 0.90 |
| image_to_text | 0.70 |
| instruction_following | 0.80 |
| language | 0.90 |
| legal | 0.80 |
| long_context | 0.70 |
| math | 0.80 |
| multimodal | 0.80 |
| physics | 0.80 |
| reasoning | 0.80 |
| search | 0.70 |
| spatial_reasoning | 0.80 |
| structured_output | 0.80 |
| finance | 0.70 |
| frontend_development | 0.80 |
| general | 0.70 |
| grounding | 0.80 |
| healthcare | 0.80 |
| agents | 0.50 |
| biology | 0.90 |
| chemistry | 0.80 |
| code | 0.60 |
| economics | 0.70 |
| text-to-image | 0.80 |
| tool_calling | 0.60 |
| video | 0.90 |
| vision | 0.80 |
Scores par benchmark
| Benchmark | Catégorie | Score | Max | Normalisé (API) | Vérifié | Auto-déclaré | Daté du |
|---|---|---|---|---|---|---|---|
| aa-lcr | reasoning | 0.68 | 1.00 | 0.68 | non | oui | 2026-11-04T06:05:11.246950Z |
| ai2d | vision | 0.94 | 1.00 | 0.94 | non | oui | 2026-11-04T06:05:11.362878Z |
| aime-2026 | math | 0.95 | 1.00 | 0.95 | non | oui | 2026-11-04T06:05:11.280451Z |
| c-eval | general | 0.93 | 1.00 | 0.93 | non | oui | 2026-11-04T06:05:11.234499Z |
| cc-ocr | vision | 0.83 | 1.00 | 0.83 | non | oui | 2026-11-04T06:05:11.359948Z |
| charxiv-r | reasoning | 0.81 | 1.00 | 0.81 | non | oui | 2026-11-04T06:05:11.352558Z |
| claw-eval | code | 0.59 | 1.00 | 0.59 | non | oui | 2026-11-04T06:05:11.181361Z |
| countbench | vision | 0.98 | 100.00 | 0.98 | non | oui | 2026-11-04T06:05:11.366683Z |
| deep-planning | agents | 0.41 | 1.00 | 0.41 | non | oui | 2026-11-04T06:05:11.197776Z |
| dynamath | math | 0.88 | 1.00 | 0.88 | non | oui | 2026-11-04T06:05:11.336300Z |
| erqa | vision | 0.66 | 1.00 | 0.66 | non | oui | 2026-11-04T06:05:11.377235Z |
| finance-agent-v2 | agents | 0.41 | 1.00 | 0.41 | non | non | 2026-11-04T06:05:11.411279Z |
| frontierswe | code | 0.22 | 1.00 | 0.22 | non | non | 2026-11-04T06:05:11.415461Z |
| global-piqa | reasoning | 0.90 | 1.00 | 0.90 | non | oui | 2026-11-04T06:05:11.299076Z |
| gpqa | reasoning | 0.90 | 1.00 | 0.90 | non | oui | 2026-11-04T06:05:11.254333Z |
| hmmt-2025 | math | 0.97 | 1.00 | 0.97 | non | oui | 2026-11-04T06:05:11.264343Z |
| hmmt-feb-26 | math | 0.88 | 1.00 | 0.88 | non | oui | 2026-11-04T06:05:11.272718Z |
| hmmt25 | math | 0.95 | 1.00 | 0.95 | non | oui | 2026-11-04T06:05:11.267468Z |
| humanity's-last-exam | reasoning | 0.29 | 1.00 | 0.29 | non | oui | 2026-11-04T06:05:11.257921Z |
| ifbench | instruction_following | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:11.243335Z |
| ifeval | chat | 0.94 | 1.00 | 0.94 | non | oui | 2026-11-04T06:05:11.239656Z |
| imo-answerbench | math | 0.84 | 1.00 | 0.84 | non | oui | 2026-11-04T06:05:11.276399Z |
| include | general | 0.85 | 1.00 | 0.85 | non | oui | 2026-11-04T06:05:11.294673Z |
| livebench | math | 0.71 | 1.00 | 0.71 | non | non | 2026-11-04T06:05:11.419788Z |
| livecodebench-v6 | reasoning | 0.87 | 1.00 | 0.87 | non | oui | 2026-11-04T06:05:11.261214Z |
| longbench-v2 | long_context | 0.62 | 1.00 | 0.62 | non | oui | 2026-11-04T06:05:11.251140Z |
| mathvision | math | 0.88 | 1.00 | 0.88 | non | oui | 2026-11-04T06:05:11.329614Z |
| maxife | general | 0.88 | 1.00 | 0.88 | non | oui | 2026-11-04T06:05:11.312285Z |
| mcp-atlas | reasoning | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:11.207770Z |
| mcp-mark | agents | 0.48 | 1.00 | 0.48 | non | oui | 2026-11-04T06:05:11.204535Z |
| mlvu | video | 0.87 | 1.00 | 0.87 | non | oui | 2026-11-04T06:05:11.394587Z |
| mmlongbench-doc | vision | 0.62 | 100.00 | 0.62 | non | oui | 2026-11-04T06:05:11.356099Z |
| mmlu-pro | language | 0.89 | 1.00 | 0.89 | non | oui | 2026-11-04T06:05:11.220601Z |
| mmlu-prox | language | 0.85 | 1.00 | 0.85 | non | oui | 2026-11-04T06:05:11.286993Z |
| mmlu-redux | language | 0.94 | 1.00 | 0.94 | non | oui | 2026-11-04T06:05:11.223723Z |
| mmmlu | language | 0.90 | 1.00 | 0.90 | non | oui | 2026-11-04T06:05:11.283730Z |
| mmmu | multimodal | 0.86 | 1.00 | 0.86 | non | oui | 2026-11-04T06:05:11.316755Z |
| mmmu-pro | vision | 0.79 | 1.00 | 0.79 | non | oui | 2026-11-04T06:05:11.323157Z |
| mmstar | vision | 0.83 | 1.00 | 0.83 | non | oui | 2026-11-04T06:05:11.343165Z |
| nl2repo | code | 0.38 | 1.00 | 0.38 | non | oui | 2026-11-04T06:05:11.187745Z |
| nova-63 | general | 0.58 | 1.00 | 0.58 | non | oui | 2026-11-04T06:05:11.290601Z |
| odinw | vision | 0.52 | 1.00 | 0.52 | non | oui | 2026-11-04T06:05:11.373363Z |
| omnidocbench-1.5 | vision | 0.91 | 1.00 | 0.91 | non | oui | 2026-11-04T06:05:11.349347Z |
| osworld-verified | multimodal | 0.62 | 1.00 | 0.62 | non | oui | 2026-11-04T06:05:11.407027Z |
| polymath | math | 0.77 | 1.00 | 0.77 | non | oui | 2026-11-04T06:05:11.302293Z |
| realworldqa | vision | 0.85 | 1.00 | 0.85 | non | oui | 2026-11-04T06:05:11.339754Z |
| refcoco-avg | vision | 0.94 | 100.00 | 0.94 | non | oui | 2026-11-04T06:05:11.369894Z |
| screenspot-pro | vision | 0.68 | 1.00 | 0.68 | non | oui | 2026-11-04T06:05:11.397879Z |
| simplevqa | vision | 0.67 | 100.00 | 0.67 | non | oui | 2026-11-04T06:05:11.346279Z |
| skillsbench | code | 0.46 | 1.00 | 0.46 | non | oui | 2026-11-04T06:05:11.184492Z |
| supergpqa | reasoning | 0.72 | 1.00 | 0.72 | non | oui | 2026-11-04T06:05:11.231218Z |
| swe-bench-multilingual | reasoning | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:11.167267Z |
| swe-bench-pro | reasoning | 0.57 | 1.00 | 0.57 | non | oui | 2026-11-04T06:05:11.170442Z |
| swe-bench-verified | reasoning | 0.79 | 1.00 | 0.79 | non | oui | 2026-11-04T06:05:11.164014Z |
| tau3-bench | agents | 0.71 | 1.00 | 0.71 | non | oui | 2026-11-04T06:05:11.190995Z |
| terminal-bench-2 | reasoning | 0.62 | 1.00 | 0.62 | non | oui | 2026-11-04T06:05:11.174400Z |
| tir-bench | multimodal | 0.62 | 1.00 | 0.62 | non | oui | 2026-11-04T06:05:11.403591Z |
| toolathlon | agents | 0.40 | 1.00 | 0.40 | non | oui | 2026-11-04T06:05:11.201154Z |
| v-star | vision | 0.97 | 1.00 | 0.97 | non | oui | 2026-11-04T06:05:11.380965Z |
| video-mme | multimodal | 0.84 | 1.00 | 0.84 | non | oui | 2026-11-04T06:05:11.387286Z |
| videommmu | multimodal | 0.84 | 1.00 | 0.84 | non | oui | 2026-11-04T06:05:11.390563Z |
| vita-bench | agents | 0.44 | 1.00 | 0.44 | non | oui | 2026-11-04T06:05:11.194505Z |
| we-math | math | 0.89 | 1.00 | 0.89 | non | oui | 2026-11-04T06:05:11.333178Z |
| widesearch | search | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:05:11.217158Z |
| wmt24++ | language | 0.84 | 1.00 | 0.84 | non | oui | 2026-11-04T06:05:11.307744Z |
Classements
| Catégorie | Rang | Score | Note conservatrice | Benchmarks évalués | Méthode | Daté du | Provenance |
|---|---|---|---|---|---|---|---|
| chat | 14 | 0.90 | 26.72 | 1 | trueskill | 2026-11-04T08:08:43.789169Z | rankings |
| math | 22 | 0.80 | 38.93 | 15 | trueskill | 2026-11-04T08:08:42.442591Z | rankings |
| multimodal | 35 | 0.80 | 30.89 | 19 | trueskill | 2026-11-04T08:08:46.488887Z | rankings |
| agents | 75 | — | 20.22 | 16 | trueskill | 2026-10-19 | model_history |
| code | 71 | — | 27.34 | 9 | trueskill | 2026-10-19 | 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