Head-to-Head Model Comparison

Qwen3.6 Plus vs Qwen3.6 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Qwen3.6 Plus vs Qwen3.6 Flash: Benchmarks, Pricing & Speed Comparison

Qwen3.6 Plus dari Alibaba dan Qwen3.6 Flash dari Alibaba adalah dua model AI unggulan. Qwen3.6 Plus menawarkan jendela konteks 1M token dengan harga $0.70/$2.80 per 1 juta token, sedangkan Qwen3.6 Flash menyediakan konteks 1M token seharga $0.08/$0.32 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Popular Matchups:
Alibaba

Qwen3.6 Plus

AI Multimodal Asli

Qwen3.6 Plus dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 1M, kecepatan 90 token/detik, indeks kecerdasan 88/100, serta tarif $0.7/

Intelligence Index88 / 100
Input Token:

$0.70 / 1M

Output Token:

$2.80 / 1M

Context Window:

1M tokens

SWE-bench Verified:

66.5%

Alibaba

Qwen3.6 Flash

AI Multimodal Asli

Qwen3.6 Flash dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 1M, kecepatan 145 token/detik, indeks kecerdasan 81/100, serta tarif $0.

Intelligence Index81 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • Qwen3.6 Flash is 8.7x cheaper for API usage (input + output tokens combined).
  • Qwen3.6 Flash is faster at 145 tok/s vs 90 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3.6 PlusQwen3.6 Flash
Intelligence Index
Composite reasoning & knowledge score (0-100)
8881
Provider
AlibabaAlibaba
Input Price
Cost per million input tokens
$0.70 / 1M$0.08 / 1M
Output Price
Cost per million output tokens
$2.80 / 1M$0.32 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.47 / 1M$0.05 / 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
16K16K
Throughput Speed
Tokens generated per second
90 tok/s145 tok/s
SWE-bench Verified
Real-world software engineering
66.5%N/A
GPQA Diamond
Graduate-level reasoning
73.8%61.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.07 / 1M$0.01 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3.6 Flash
8.7x cheaper monthly runtime
Speed
Qwen3.6 Flash
+61% faster generation
Context
Tied
1M tokens window

Skor Benchmark Terverifikasi

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

Qwen3.6 PlusQwen3.6 Flash
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

66.5%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

73.8%vs61.5%
MMLU-Pro (Multi-task Language Understanding)

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

86.2%vs78%
LMSYS Chatbot Arena Elo

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

1425ptsvs1320pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs145 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
Qwen3.6 Plus0.46s
Qwen3.6 Flash0.31s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3.6 Plus6.02s
Qwen3.6 Flash3.76s

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)
Qwen3.6 Plus Monthly API Bill
$3.67 / month
$0.7/1M in · $2.8/1M out
Qwen3.6 Flash Monthly API Bill
$0.42 / month
$0.08/1M in · $0.32/1M out
Qwen3.6 Flash saves approximately $3.25 / month (89%) under this workload.8.7x Savings

Qwen3.6 Plus · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 66.5% · GPQA Diamond 73.8%)
  • Kecepatan generasi tinggi 90 token/detik dengan latensi token pertama (TTFT) hanya 460 ms
  • Skema harga API kompetitif (tarif $0.7/$2.8 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

Qwen3.6 Flash · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 61.5% · MMLU-Pro 78%)
  • Kecepatan generasi tinggi 145 token/detik dengan latensi token pertama (TTFT) hanya 310 ms
  • Skema harga API kompetitif (tarif $0.08/$0.32 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.

MetricQwen3.6 PlusQwen3.6 Flash
Cost per Task
Estimated USD to finish one task
$0.21$0.03
Output Tokens / Task
Tokens generated per task
25K16K
Reasoning Tokens / Task
Thinking tokens burned per task
9K2K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3.6 PlusQwen3.6 Flash
Official API Model ID (SDK)qwen3-6-plus-instructqwen3-6-flash-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2026-042026-04
Knowledge CutoffFebruary 2026March 2026
ArchitectureHigh-Throughput Multimodal Foundation TransformerHigh-Efficiency Multimodal Vision 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 ($0.7/1M in) across full 1000K windowFlat rate ($0.08/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.07/1M tokensCached input at $0.008/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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 Modalitiestext, visiontext, vision
Output Modalitiestexttext

Qwen3.6 Plus vs Qwen3.6 Flash: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen3.6 Plus or Qwen3.6 Flash?

Qwen3.6 Plus is more intelligent. It scores 88 compared with 81 on the composite Intelligence Index.

Which model is faster?

Qwen3.6 Flash is faster, generating 145 tokens per second compared with 90 tokens per second.

Which model is cheaper to run?

Qwen3.6 Flash is cheaper at $0.05 per 1M tokens blended, compared with $0.47 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.6 Flash has lower latency, with a time to first token of 0.31s compared with 0.46s.

Kesimpulan

Baik Qwen3.6 Plus (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Qwen3.6 Flash (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen3.6 Plus unggul dalam penalaran dan pemrograman, Qwen3.6 Flash memberikan kecepatan generasi token lebih tinggi, dan Qwen3.6 Flash lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen3.6 Plus atau Qwen3.6 Flash?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen3.6 Plus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Qwen3.6 Plus vs Qwen3.6 Flash?+

Qwen3.6 Plus mengenakan biaya $0.70 / $2.80 per 1M token input/output, sedangkan Qwen3.6 Flash sebesar $0.08 / $0.32. Secara keseluruhan, Qwen3.6 Flash lebih hemat biaya.

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

Qwen3.6 Plus mendukung konteks 1M token dibandingkan 1M token pada Qwen3.6 Flash, sementara Qwen3.6 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).