Head-to-Head Model Comparison

Qwen3 Max vs Qwen3-VL Plus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Qwen3 Max vs Qwen3-VL Plus: Benchmarks, Pricing & Speed Comparison

Qwen3 Max dari Alibaba dan Qwen3-VL Plus dari Alibaba adalah dua model AI unggulan. Qwen3 Max menawarkan jendela konteks 262.1K token dengan harga $2.00/$6.00 per 1 juta token, sedangkan Qwen3-VL Plus menyediakan konteks 262.1K token seharga $0.50/$2.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Alibaba

Qwen3 Max

Model Agen Otonom & Alat

Qwen3 Max dari Alibaba adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 262K, kecepatan 72 token/detik, indeks kecerdasan 88/100, serta

Intelligence Index88 / 100
Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

62.5%

Alibaba

Qwen3-VL Plus

AI Multimodal Asli

Qwen3-VL Plus dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 262K, kecepatan 80 token/detik, indeks kecerdasan 82/100, serta tarif $0

Intelligence Index82 / 100
Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • Qwen3-VL Plus is 3.4x cheaper for API usage (input + output tokens combined).
  • Qwen3-VL Plus is faster at 80 tok/s vs 72 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3 MaxQwen3-VL Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8882
Provider
AlibabaAlibaba
Input Price
Cost per million input tokens
$2.00 / 1M$0.50 / 1M
Output Price
Cost per million output tokens
$6.00 / 1M$2.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.28 / 1M$0.34 / 1M
Context Window
Maximum input + output tokens
262.1K tokens~393 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
72 tok/s80 tok/s
SWE-bench Verified
Real-world software engineering
62.5%N/A
GPQA Diamond
Graduate-level reasoning
71.2%64%
Cached Input Price
Prompt caching discount per 1M tokens
$0.40 / 1M$0.05 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3-VL Plus
3.4x cheaper monthly runtime
Speed
Qwen3-VL Plus
+11% faster generation
Context
Tied
262.1K tokens window

Skor Benchmark Terverifikasi

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

Qwen3 MaxQwen3-VL Plus
SWE-bench Verified (Autonomous Coding)

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

62.5%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

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

71.2%vs64%
MMLU-Pro (Multi-task Language Understanding)

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

84.5%vs81%
LMSYS Chatbot Arena Elo

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

1395ptsvs1345pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

72 tok/s vs80 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 Max0.59s
Qwen3-VL Plus0.56s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3 Max7.53s
Qwen3-VL Plus6.81s

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 Max Monthly API Bill
$9.00 / month
$2/1M in · $6/1M out
Qwen3-VL Plus Monthly API Bill
$2.63 / month
$0.5/1M in · $2/1M out
Qwen3-VL Plus saves approximately $6.38 / month (71%) under this workload.3.4x Savings

Qwen3 Max · Strengths & Key Advantages

  • Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 62.5% · GPQA Diamond 71.2%)
  • Kecepatan generasi tinggi 72 token/detik dengan latensi token pertama (TTFT) hanya 590 ms
  • Skema harga API kompetitif (tarif $2/$6 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
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Qwen3-VL Plus · Strengths & Key Advantages

  • Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 64% · MMLU-Pro 81%)
  • Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 560 ms
  • Skema harga API kompetitif (tarif $0.5/$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.

MetricQwen3 MaxQwen3-VL Plus
Cost per Task
Estimated USD to finish one task
$0.28$0.16
Output Tokens / Task
Tokens generated per task
25K20K
Reasoning Tokens / Task
Thinking tokens burned per task
10K6K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3 MaxQwen3-VL Plus
Official API Model ID (SDK)qwen3-max-instructqwen3-vl-plus-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-092025-09
Knowledge CutoffJuly 2025July 2025
ArchitectureAdvanced Dense/MoE Hybrid Frontier TransformerMultimodal Vision-Language Frontier Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($2/1M in) across full 262K windowFlat rate ($0.5/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.4/1M tokensCached input at $0.05/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)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)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 Modalitiestexttext, vision
Output Modalitiestexttext

Qwen3 Max vs Qwen3-VL Plus: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen3 Max or Qwen3-VL Plus?

Qwen3 Max is more intelligent. It scores 88 compared with 82 on the composite Intelligence Index.

Which model is faster?

Qwen3-VL Plus is faster, generating 80 tokens per second compared with 72 tokens per second.

Which model is cheaper to run?

Qwen3-VL Plus is cheaper at $0.34 per 1M tokens blended, compared with $1.28 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3-VL Plus has lower latency, with a time to first token of 0.56s compared with 0.59s.

Kesimpulan

Baik Qwen3 Max (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Qwen3-VL Plus (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen3 Max unggul dalam penalaran dan pemrograman, Qwen3-VL Plus memberikan kecepatan generasi token lebih tinggi, dan Qwen3-VL Plus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen3 Max atau Qwen3-VL Plus?+

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

Berapa perbandingan harga API Qwen3 Max vs Qwen3-VL Plus?+

Qwen3 Max mengenakan biaya $2.00 / $6.00 per 1M token input/output, sedangkan Qwen3-VL Plus sebesar $0.50 / $2.00. Secara keseluruhan, Qwen3-VL Plus lebih hemat biaya.

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

Qwen3 Max mendukung konteks 262.1K token dibandingkan 262.1K token pada Qwen3-VL Plus, sementara Qwen3-VL Plus 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).