Head-to-Head Model Comparison

Qwen Flash vs Qwen Turbo

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
Bagikan
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Qwen Flash vs Qwen Turbo: Benchmarks, Pricing & Speed Comparison

Qwen Flash dari Alibaba dan Qwen Turbo dari Alibaba adalah dua model AI unggulan. Qwen Flash menawarkan jendela konteks 1M token dengan harga $0.02/$0.08 per 1 juta token, sedangkan Qwen Turbo menyediakan konteks 1M token seharga $0.05/$0.20 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

Ganti & Bandingkan Model Apa Saja

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

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Alibaba

Qwen Flash

Inferensi Super Cepat

Qwen Flash dari Alibaba adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 1M, kecepatan 180 token/detik, indeks kecerdasan 67/100, serta tarif $0

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

Inferensi Super Cepat

Qwen Turbo dari Alibaba adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 1M, kecepatan 160 token/detik, indeks kecerdasan 68/100, serta tarif $0

Intelligence Index68 / 100
Input Token:

$0.05 / 1M

Output Token:

$0.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • 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 →
FeatureQwen FlashQwen Turbo
Intelligence Index
Composite reasoning & knowledge score (0-100)
6768
Provider
AlibabaAlibaba
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 text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
180 tok/s160 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.00 / 1M$0.01 / 1M

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 63.5% · Arena Elo 1195)
  • Kecepatan generasi tinggi 180 token/detik dengan latensi token pertama (TTFT) hanya 250 ms
  • Skema harga API kompetitif (tarif $0.02/$0.08 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Qwen Turbo · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 65% · Arena Elo 1210)
  • Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
  • Skema harga API kompetitif (tarif $0.05/$0.2 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

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

MetricQwen FlashQwen Turbo
Cost per Task
Estimated USD to finish one task
$0.01$0.01
Output Tokens / Task
Tokens generated per task
10K12K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureQwen FlashQwen Turbo
Official API Model ID (SDK)qwen-flash-instructqwen-turbo-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-072024-11
Knowledge CutoffMay 2025September 2024
ArchitectureUltra-Lightweight Distilled Autoregressive TransformerDistilled High-Throughput Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 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 windowFlat rate ($0.05/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.002/1M tokensCached input at $0.005/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationAlibaba Production Safety & Alignment VerifiedAlibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext
Output Modalitiestexttext

Qwen Flash vs Qwen Turbo: Jawaban Cepat (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.

Kesimpulan

Baik Qwen Flash (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Qwen Turbo (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen Turbo unggul dalam penalaran dan pemrograman, Qwen Flash memberikan kecepatan generasi token lebih tinggi, dan Qwen Flash lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen Flash atau Qwen Turbo?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen Turbo memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Qwen Flash vs Qwen Turbo?+

Qwen Flash mengenakan biaya $0.02 / $0.08 per 1M token input/output, sedangkan Qwen Turbo sebesar $0.05 / $0.20. Secara keseluruhan, Qwen Flash lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Qwen Flash mendukung konteks 1M token dibandingkan 1M token pada Qwen Turbo, sementara Qwen Flash unggul dalam kecepatan output token per detik.

AI Terminology & Guide
Explore Glossary →

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

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Sumber resmi: Dokumentasi API resmi Alibaba & Alibaba serta evaluasi benchmark independen (2026).