Head-to-Head Model Comparison

Qwen Flash vs Qwen Turbo

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen FlashProfile

Qwen TurboProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen Flash

Inferenza Ultra-Rapida

Qwen Flash di Alibaba è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 1M, velocità di 180 token/s, indice di intelligenza di 67/100 e tariffa di $

Intelligence Index67 / 100

Input Token:

$0.02 / 1M

Output Token:

$0.08 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Alibaba

Qwen Turbo

Inferenza Ultra-Rapida

Qwen Turbo di Alibaba è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 1M, velocità di 160 token/s, indice di intelligenza di 68/100 e tariffa di $

Intelligence Index68 / 100

Input Token:

$0.05 / 1M

Output Token:

$0.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

Qwen Flash is 2.5x cheaper for API usage (input + output tokens combined).
Qwen Flash is faster at 180 tok/s vs 160 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Qwen Flash	Qwen Turbo
Intelligence Index Composite reasoning & knowledge score (0-100)	67	68
Provider	Alibaba	Alibaba
Input Price Cost per million input tokens	$0.02 / 1M	$0.05 / 1M
Output Price Cost per million output tokens	$0.08 / 1M	$0.20 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.01 / 1M	$0.03 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	8K	8K
Throughput Speed Tokens generated per second	180 tok/s	160 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.00 / 1M	$0.01 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Qwen Flash

2.5x cheaper monthly runtime

Speed

Qwen Flash

+13% faster generation

Context

Tied

1M tokens window

Punteggi Benchmark Verificati

Official evaluation metrics verified by independent third-party research labs.

Qwen FlashQwen Turbo

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

63.5%vs65%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1195ptsvs1210pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

180 tok/s vs160 tok/s

Latenza e Tempo di Risposta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Qwen Flash0.25s

Qwen Turbo0.29s

Est. End-to-End Response (500 tokens)TTFT + generation time

Qwen Flash3.03s

Qwen Turbo3.42s

Simulatore Interattivo dei Costi Token

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Qwen Flash Monthly API Bill

$0.11 / month

$0.02/1M in · $0.08/1M out

Qwen Turbo Monthly API Bill

$0.26 / month

$0.05/1M in · $0.2/1M out

Qwen Flash saves approximately $0.16 / month (60%) under this workload.2.5x Savings

Qwen Flash · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 8K token (MMLU-Pro 63.5% · Arena Elo 1195)
Throughput elevato di 180 token/secondo con latenza al primo token (TTFT) di soli 250 ms
Economia API competitiva ($0.02/$0.08 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Qwen Turbo · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 8K token (MMLU-Pro 65% · Arena Elo 1210)
Throughput elevato di 160 token/secondo con latenza al primo token (TTFT) di soli 290 ms
Economia API competitiva ($0.05/$0.2 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Qwen Flash	Qwen Turbo
Cost per Task Estimated USD to finish one task	$0.01	$0.01
Output Tokens / Task Tokens generated per task	10K	12K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen Flash	Qwen Turbo
Official API Model ID (SDK)	qwen-flash-instruct	qwen-turbo-instruct
API Protocol	Alibaba REST API (OpenAI-Compatible)	Alibaba REST API (OpenAI-Compatible)
Release Date	2025-07	2024-11
Knowledge Cutoff	May 2025	September 2024
Architecture	Ultra-Lightweight Distilled Autoregressive Transformer	Distilled High-Throughput Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.02/1M in) across full 1000K window	Flat rate ($0.05/1M in) across full 1000K window
Prompt Cache Policy & TTL	Cached input at $0.002/1M tokens	Cached input at $0.005/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Alibaba Production Safety & Alignment Verified	Alibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text	text
Output Modalities	text	text

Qwen Flash vs Qwen Turbo: Risposte Rapide (FAQ)

Which is more intelligent, Qwen Flash or Qwen Turbo?

Qwen Turbo is more intelligent. It scores 68 compared with 67 on the composite Intelligence Index.

Which model is faster?

Qwen Flash is faster, generating 180 tokens per second compared with 160 tokens per second.

Which model is cheaper to run?

Qwen Flash is cheaper at $0.01 per 1M tokens blended, compared with $0.03 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen Flash has lower latency, with a time to first token of 0.25s compared with 0.29s.

Verdetto

Sia Qwen Flash (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) sia Qwen Turbo (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Qwen Turbo guida nei benchmark di ragionamento e programmazione, Qwen Flash garantisce una generazione più rapida e Qwen Flash offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Qwen Flash o Qwen Turbo?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Qwen Turbo. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Qwen Flash e Qwen Turbo?+

Qwen Flash costa $0.02 / $0.08 per milione di token di input/output, mentre Qwen Turbo costa $0.05 / $0.20. Nel costo combinato, Qwen Flash risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Qwen Flash supporta 1M token di contesto contro 1M token di Qwen Turbo, mentre Qwen Flash offre una velocità di generazione superiore.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Qwen Flash vs Qwen Turbo

Cambia e Confronta Qualsiasi Modello

Qwen Flash

Qwen Turbo

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Qwen Flash · Strengths & Key Advantages

Considerations & Trade-offs

Qwen Turbo · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Qwen Flash vs Qwen Turbo: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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