Head-to-Head Model Comparison

Qwen Flash vs Hunyuan TurboS

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Qwen FlashProfile

Hunyuan TurboSProfile

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

Tencent

Hunyuan TurboS

Inferensi Super Cepat

Hunyuan TurboS dari Tencent adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 33K, kecepatan 160 token/detik, indeks kecerdasan 70/100, serta tar

Intelligence Index70 / 100

Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

Qwen Flash is 3.0x cheaper for API usage (input + output tokens combined).
Qwen Flash has a larger context window (1M vs 33K tokens).
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	Hunyuan TurboS
Intelligence Index Composite reasoning & knowledge score (0-100)	67	70
Provider	Alibaba	Tencent
Input Price Cost per million input tokens	$0.02 / 1M	$0.06 / 1M
Output Price Cost per million output tokens	$0.08 / 1M	$0.24 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.01 / 1M	$0.04 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	32.8K tokens~49 A4 pages of text
Max Output Tokens Per single request	8K	4K
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

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Qwen Flash

3.0x cheaper monthly runtime

Speed

Qwen Flash

+13% faster generation

Context

Qwen Flash

1M tokens window

Skor Benchmark Terverifikasi

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

Qwen FlashHunyuan TurboS

MMLU-Pro (Multi-task Language Understanding)

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

63.5%vs67%

LMSYS Chatbot Arena Elo

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

1195ptsvs1225pts

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

Hunyuan TurboS0.25s

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

Qwen Flash3.03s

Hunyuan TurboS3.38s

Simulator Biaya Token Interaktif

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

Hunyuan TurboS Monthly API Bill

$0.32 / month

$0.06/1M in · $0.24/1M out

Qwen Flash saves approximately $0.21 / month (67%) under this workload.3.0x 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

Hunyuan TurboS · Strengths & Key Advantages

Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (MMLU-Pro 67% · Arena Elo 1225)
Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 250 ms
Skema harga API kompetitif (tarif $0.06/$0.24 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.

Metric	Qwen Flash	Hunyuan TurboS
Cost per Task Estimated USD to finish one task	$0.01	$0.01
Output Tokens / Task Tokens generated per task	10K	8K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen Flash	Hunyuan TurboS
Official API Model ID (SDK)	qwen-flash-instruct	hunyuan-turbos
API Protocol	Alibaba REST API (OpenAI-Compatible)	Tencent REST API (OpenAI-Compatible)
Release Date	2025-07	2025-03
Knowledge Cutoff	May 2025	January 2025
Architecture	Ultra-Lightweight Distilled Autoregressive Transformer	Lightweight Fast-Inference 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) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.02/1M in) across full 1000K window	Flat rate ($0.06/1M in) across full 33K window
Prompt Cache Policy & TTL	Cached input at $0.002/1M tokens	Cached input at $0.006/1M 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	Tencent 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 Hunyuan TurboS: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen Flash or Hunyuan TurboS?

Hunyuan TurboS is more intelligent. It scores 70 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 $0.04 (7:2:1 cache:input:output ratio).

Which model has a larger context window?

Qwen Flash has a larger context window, supporting 1M tokens compared with 32.8K tokens.

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 Hunyuan TurboS (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Hunyuan TurboS 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 Hunyuan TurboS?+

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

Berapa perbandingan harga API Qwen Flash vs Hunyuan TurboS?+

Qwen Flash mengenakan biaya $0.02 / $0.08 per 1M token input/output, sedangkan Hunyuan TurboS sebesar $0.06 / $0.24. 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 32.8K token pada Hunyuan TurboS, 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.

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

Qwen Flash vs Hunyuan TurboS

Ganti & Bandingkan Model Apa Saja

Qwen Flash

Hunyuan TurboS

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Qwen Flash · Strengths & Key Advantages

Considerations & Trade-offs

Hunyuan TurboS · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Qwen Flash vs Hunyuan TurboS: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

Related reading