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Alibaba

Qwen3.6 Max Preview

Vérifié par l’équipe de recherche de GetInfoUsDernière révision : October 2026Politique éditoriale
Aperçu phareOfficial Source Verified ↗
90
Intelligence Index

d'Alibaba spring 2026 phare preview offrant near-instant utilisation de l'ordinateur planning, profond codage, et complexe mathématique proofs.

Input / Output
$1.5 / $6
per 1M tokens
Context
262K tokens
window
Speed
75
tok/s
Latency
0.54s
TTFT

Technical Specifications

Provider
Alibaba
Category
flagship
Release Date
2026-04
Knowledge Cutoff
March 2026
Architecture
High-Scale Frontier Agentic Transformer
Parameters
Confidential
Context Window
262K tokens
Max Output
16K tokens
Cached Input Price
$0.15 / 1M tokens
Batch API Discount
50% off async batch
Consumer Subscription
API Pay-as-you-go
Reasoning Mode
Yes (Chain-of-Thought)
Reasoning Effort Control
Configurable (Low / Med / High)
Tool Calling
Yes
Structured Outputs
Yes
Open Weights
No (Proprietary Cloud)
Input Modalities
text
Output Modalities
text
Official Documentation
Visit Official Docs ↗

Data Privacy, Licensing & Deployment Governance

API Data Training Policy
API payloads are excluded from model training by default
Model License & Commercial Rights
Proprietary Commercial API (Alibaba Terms)
Deployment & Cloud Availability
Alibaba Cloud API & Enterprise Endpoints
Output Ownership
Full commercial ownership of generated outputs

Official Provider Release Intelligence, API Quotas & Agentic Specs

Compare Multi-Models Side-by-Side →
Official API Model ID (SDK String)
qwen3-6-max-preview-instruct
Supported SDK & API Protocol
Alibaba REST API (OpenAI-Compatible)
Lifecycle & Deprecation Status
Active GA (Guaranteed support through 2028+)
Production Rate Limits (RPM & TPM)
5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Pricing Tier (>128K / >200K)
Flat rate ($1.5/1M in) across full 262K window
Prompt Cache Write & TTL Policy
Cached input at $0.15/1M tokens
Computer Use & Browser GUI Agent
API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling
Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Code Sandbox
Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Fine-Tuning & Distillation Support
API Prompt Engineering & RAG Distillation
Multimodal Tokenization Billing
Text BPE (~4 chars/token)
Weights Precision & Quantization
Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
Minimum GPU VRAM Requirement
Zero Local VRAM Required (100% Serverless Cloud API)
Supported Inference Engines
Managed Alibaba Cloud API
System Card & Safety Framework
Alibaba Production Safety & Alignment Verified
Enterprise Compliance (SOC2 / HIPAA / ZDR)
SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Engineering & Pricing Workbench

Qwen3.6 Max Preview Cost, Context, Hardware & API Integration

500 / day
4,000 tok
1,000 tok
Conversation Depth (History Re-billing):1 Turn (Single-Shot)
50%
Estimated Monthly API Cost (30 Days)
$139.50$180.00
Monthly Savings: $40.50 (Caching/Batch)
Daily Cost:
$4.65
Cost per Request:
$0.00930
Effective Input / 1M:
$0.825
Effective Output / 1M:
$6.000
Subscription ($20/mo) vs API

For single-user chat, a $20/mo subscription caps your bill below this API volume.

Break-even point: ~72 requests/day equals $20/month.

Same Monthly Workload Cost Across Popular Reference Models

Qwen3.6 Max Preview (Active)
$139.50
/ month
Gemini 2.5 Flash
$18.00
/ month
DeepSeek V3
$32.70
/ month
GPT-4o
$300.00
/ month
Claude 3.7 Sonnet
$405.00
/ month

Live Prompt Paste Tokenizer & Cost Counter

Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.

Chars / Words
175 / 24
OpenAI o200k
~46 tok
Claude BPE
~49 tok
Llama / DeepSeek
~51 tok

Hybrid Prompt Routing Cascade Simulator

Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to Qwen3.6 Max Preview:

Cascaded Monthly Bill:$48.38/mo
Saves $91.13/mo (65% cost reduction) vs sending 100% of traffic to Qwen3.6 Max Preview.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia
Coding (81)Reasoning (87)Knowledge (88)Speed (50)Context (85)Cost Value (72)
Qwen3.6 Max Preview2026 Frontier Median
SWE-bench Verified
70%
GPQA Diamond
76%
MMLU-Pro
87.5%
HumanEval
97%
Chatbot Arena Elo
1445pts

Strengths

  • 70% SWE-bench Verified score égalant le haut de gamme de pointe modèles globally
  • supérieur mathématique deduction et algorithmic problem solving
  • exceptionnel reliability dans à long terme autonome outil orchestration

Limitations & Trade-offs

  • Preview modèle subject à API rate quotas et capacité limits
  • texte-seulement interface; multimodal vision handled par sibling VL modèles

Editorial Assessment

un showcase de chinois de pointe capacité achieving parity avec le elite mondial palier.

Best for: autonome codage agents, mathématique recherche, et élevé-difficulty d'entreprise challenges

Compare Qwen3.6 Max Preview

Qwen3.6 Max Preview vs ERNIE 5.0Qwen3.6 Max Preview vs Qwen3.6 PlusQwen3.6 Max Preview vs Qwen3.7 MaxQwen3.6 Max Preview vs Gemini 4 ArgonQwen3.6 Max Preview vs GPT-6 AstraQwen3.6 Max Preview vs Claude Opus 5.5Qwen3.6 Max Preview vs GPT-6.1 Sol

Frequently Asked Questions about Qwen3.6 Max Preview

How much does the Qwen3.6 Max Preview API cost per 1M tokens?+

Qwen3.6 Max Preview by Alibaba is priced at $1.5 per 1M input tokens and $6 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.15 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.

Should I use a $20/month subscription or the Qwen3.6 Max Preview pay-as-you-go API?+

A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.

How many words and pages fit in Qwen3.6 Max Preview's context window?+

Qwen3.6 Max Preview features a 262K tokens context window, which equals approximately 196,608 English words or ~524 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 16,384 tokens.

Can I run Qwen3.6 Max Preview locally on my own GPU (Open Weights)?+

No, Qwen3.6 Max Preview is a proprietary closed-weights model hosted by Alibaba. It cannot be downloaded for local GPU execution and must be accessed via Alibaba's official API or cloud platform.

Does Alibaba train on data sent to the Qwen3.6 Max Preview API, and is commercial use allowed?+

API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Alibaba Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Alibaba Cloud API & Enterprise Endpoints.

How does Qwen3.6 Max Preview perform on coding and reasoning benchmarks?+

Qwen3.6 Max Preview achieves a composite Intelligence Index of 90/100, scoring 70% on SWE-bench Verified, 76% on GPQA Diamond, 87.5% on MMLU-Pro, and 1445 pts on Chatbot Arena Elo.

What is Qwen3.6 Max Preview best used for?+

Qwen3.6 Max Preview is best suited for: autonome codage agents, mathématique recherche, et élevé-difficulty d'entreprise challenges. Assessment: un showcase de chinois de pointe capacité achieving parity avec le elite mondial palier.

Alibaba Family Lineage, Routing Tiers & Upgrade Path

Step down to a lighter sibling for high-volume routing or step up to Alibaba's flagship reasoning tier:

Fast Router / Budget Tier2026-07

Qwen3.8 Max Preview

$0 / $0 · 1M tokensIQ 93
Sibling Production Tier2026-06

Qwen3.7 Plus

$0.8 / $3.2 · 1M tokensIQ 89
Higher-Intelligence Upgrade2026-05

Qwen3.7 Max

$1.8 / $7.2 · 1M tokensIQ 92
Fast Router / Budget Tier2026-04

Qwen3.6 Plus

$0.7 / $2.8 · 1M tokensIQ 88
Fast Router / Budget Tier2026-04

Qwen3.6 Flash

$0.08 / $0.32 · 1M tokensIQ 81
Fast Router / Budget Tier2026-04

Qwen3.6 35B-A3B

$0 / $0 · 262K tokensIQ 80

AI Glossary & Architecture Concepts

View full glossary →

Key machine learning concepts and benchmarks relevant to Qwen3.6 Max Preview:

Jeton (Token)

L'unité textuelle de base traitée par un modèle linguistique, représentant généralement 3 à 4 caractères ou environ 0,75 mot. Par exemple, une phrase courante est découpée en plusieurs jetons.

Benchmark (Banc d’essai)

Une suite de tests standardisés permettant d'évaluer et de comparer objectivement les performances des modèles d'IA sur des tâches ciblées (code avec SWE-bench, mathématiques avec AIME, etc.).

Fenêtre de contexte

Le nombre maximal de jetons qu'un modèle peut traiter simultanément (entrée et sortie comprises). Une fenêtre de 1 000 000 jetons permet d'analyser environ 750 000 mots en une seule requête.

Modèle de raisonnement

Un modèle d'IA entraîné par apprentissage par renforcement pour allouer du temps de calcul à la réflexion logique avant d'émettre une solution, idéal pour les problèmes scientifiques et le code complexe.

Chaîne de pensée (CoT)

Une méthode de raisonnement pas-à-pas où le modèle décompose le problème en étapes logiques intermédiaires avant de conclure, augmentant drastiquement la précision en mathématiques et programmation.

Appel d'outils (Tool Calling)

La capacité d'un LLM à déterminer quand une action externe est requise et à générer des arguments structurés pour invoquer des API, calculatrices ou bases de données avant de poursuivre.

← Back to all models

Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.

Sources: Alibaba Cloud Preview Documentation & LMSYS Evaluations↗