Alibaba

Qwen Turbo

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
Inferencia UltrarrápidaOfficial Source Verified ↗
68
Intelligence Index

Qwen Turbo de Alibaba es un modelo de IA diseñado para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, con ventana de contexto de 1M, velocidad de 160 tokens/s, índice de inteligencia de 68/100 y tarifa de $0.05/$0.2 por 1M de tokens.

Technical Specifications

Provider
Alibaba
Category
lightweight
Release Date
2024-11
Knowledge Cutoff
September 2024
Architecture
Distilled High-Throughput Transformer
Parameters
Confidential
Context Window
1M tokens
Max Output
8K tokens
Cached Input Price
$0.005 / 1M tokens
Batch API Discount
50% off async batch
Consumer Subscription
API Pay-as-you-go
Reasoning Mode
No (Standard)
Reasoning Effort Control
Fixed
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)
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
Engineering & Pricing Workbench

Qwen Turbo 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)
$4.65$6.00
Monthly Savings: $1.35 (Caching/Batch)
Subscription ($20/mo) vs API

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

Qwen Turbo (Active)
$4.65
/ 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 Qwen Turbo:

Cascaded Monthly Bill:$14.66/mo
This model is already priced at or below the fast router baseline.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia
Coding (72)Reasoning (68)Knowledge (65)Speed (100)Context (100)Cost Value (94)
Qwen Turbo2026 Frontier Median
MMLU-Pro
65%
HumanEval
72%
Chatbot Arena Elo
1210pts

Strengths

  • Ventana de contexto de 1M con hasta 8K tokens de salida máxima (MMLU-Pro 65% · Arena Elo 1210)
  • Rendimiento ágil de 160 tokens/segundo con latencia inicial (TTFT) de solo 290 ms
  • Economía de API competitiva ($0.05/$0.2 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Limitations & Trade-offs

  • Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
  • En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Editorial Assessment

Con una puntuación de inteligencia de 68/100, contexto de 1M y 160 tok/s, Qwen Turbo destaca como una opción sumamente sólida dentro del ecosistema de Alibaba.

Best for: Ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas RAG empresariales y automatización mediante API.

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: Ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas RAG empresariales y automatización mediante API.. Assessment: Con una puntuación de inteligencia de 68/100, contexto de 1M y 160 tok/s, Qwen Turbo destaca como una opción sumamente sólida dentro del ecosistema de Alibaba.

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Alibaba Cloud DashScope Pricing↗