ultra-faible coût, millions-token modèle conçu pour élevé-concurrency routage, classification, et en temps réel chat.
Technical Specifications
- Provider
- Alibaba
- Category
- lightweight
- Release Date
- 2024-11
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Fixed
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- qwen-turbo-instruct
- Supported SDK & API Protocol
- Alibaba REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Legacy Stable (Upgrade path available in Alibaba lineup)
- Production Rate Limits (RPM & TPM)
- 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($0.05/1M in) across full 1000K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.005/1M 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
Qwen Turbo Cost, Context, Hardware & API Integration
Pay-as-you-go API is cheaper for this volume (saves $15.35/mo vs $20 flat plan).
Break-even point: ~2,151 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to Qwen Turbo:
Benchmark Scores & 6-Axis Capability Radar
- MMLU-Pro
- 65%
- HumanEval
- 72%
- Chatbot Arena Elo
- 1210pts
Strengths
- Incredible valeur à $0.05 / 1M entrée tokens avec millions-token capacité
- sous-300ms temps à premier token pour ultra-responsive applications
- fiable JSON mode extraction à mass échelle
Limitations & Trade-offs
- pas suited pour multistep scientifique raisonnement ou intricate code architecture
- Occasionally drifts sur nuanced prompts past 500K tokens
Editorial Assessment
un ultra-économique centrale qui dominates entry-level commercial API economics.
Best for: Bulk classification, log parsing, traduction, et élevé-frequency chatbot endpoints
Compare Qwen Turbo
Frequently Asked Questions about Qwen Turbo
How much does the Qwen Turbo API cost per 1M tokens?+
Qwen Turbo by Alibaba is priced at $0.05 per 1M input tokens and $0.2 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.005 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Qwen Turbo 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 Qwen Turbo's context window?+
Qwen Turbo features a 1M tokens context window, which equals approximately 750,000 English words or ~2,000 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 8,192 tokens.
Can I run Qwen Turbo locally on my own GPU (Open Weights)?+
No, Qwen Turbo 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 Qwen Turbo 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 Qwen Turbo perform on coding and reasoning benchmarks?+
Qwen Turbo achieves a composite Intelligence Index of 68/100, scoring N/A% on SWE-bench Verified, N/A% on GPQA Diamond, 65% on MMLU-Pro, and 1210 pts on Chatbot Arena Elo.
What is Qwen Turbo best used for?+
Qwen Turbo is best suited for: Bulk classification, log parsing, traduction, et élevé-frequency chatbot endpoints. Assessment: un ultra-économique centrale qui dominates entry-level commercial API economics.
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:
Qwen3.8 Max Preview
Qwen3.7 Plus
Qwen3.7 Max
Qwen3.6 Max Preview
Qwen3.6 Plus
Qwen3.6 Flash
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Qwen Turbo:
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.
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.).
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.
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.
Un standard ouvert créé par Anthropic permettant aux agents d'IA de se connecter de façon uniforme aux systèmes de fichiers locaux, aux environnements de développement et aux API tierces.
Une optimisation tarifaire et technique conservant les états d'attention des préfixes de prompts récurrents, réduisant les coûts d'entrée de 50 à 90 % tout en abaissant la latence.
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 DashScope Pricing↗