Head-to-Head Model Comparison

Nex-N2-Pro 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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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Nex-N2-Pro vs Qwen3.6 Flash: Benchmarks, Pricing & Speed Comparison

Nex-N2-Pro dari Nex AGI dan Qwen3.6 Flash dari Alibaba adalah dua model AI unggulan. Nex-N2-Pro menawarkan jendela konteks 262.1K token dengan harga $0.40/$1.60 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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Nex AGI

Nex-N2-Pro

Mesin Penalaran Mendalam

Nex-N2-Pro dari Nex AGI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 262K, kecepatan 85 token/detik, indeks kecerdasan 81/100, serta tarif $0.4/$

Intelligence Index81 / 100
Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

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 5.0x cheaper for API usage (input + output tokens combined).
  • Qwen3.6 Flash has a larger context window (1M vs 262K tokens).
  • Qwen3.6 Flash is faster at 145 tok/s vs 85 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNex-N2-ProQwen3.6 Flash
Intelligence Index
Composite reasoning & knowledge score (0-100)
8181
Provider
Nex AGIAlibaba
Input Price
Cost per million input tokens
$0.40 / 1M$0.08 / 1M
Output Price
Cost per million output tokens
$1.60 / 1M$0.32 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.27 / 1M$0.05 / 1M
Context Window
Maximum input + output tokens
262.1K tokens~393 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
85 tok/s145 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
62%61.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.04 / 1M$0.01 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3.6 Flash
5.0x cheaper monthly runtime
Speed
Qwen3.6 Flash
+71% faster generation
Context
Qwen3.6 Flash
1M tokens window

Skor Benchmark Terverifikasi

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

Nex-N2-ProQwen3.6 Flash
GPQA Diamond (Doctorate-Level Science & Math)

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

62%vs61.5%
MMLU-Pro (Multi-task Language Understanding)

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

78%vs78%
LMSYS Chatbot Arena Elo

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

1320ptsvs1320pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 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
Nex-N2-Pro0.46s
Qwen3.6 Flash0.31s
Est. End-to-End Response (500 tokens)TTFT + generation time
Nex-N2-Pro6.34s
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)
Nex-N2-Pro Monthly API Bill
$2.10 / month
$0.4/1M in · $1.6/1M out
Qwen3.6 Flash Monthly API Bill
$0.42 / month
$0.08/1M in · $0.32/1M out
Qwen3.6 Flash saves approximately $1.68 / month (80%) under this workload.5.0x Savings

Nex-N2-Pro · Strengths & Key Advantages

  • Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 62% · MMLU-Pro 78%)
  • Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 460 ms
  • Skema harga API kompetitif (tarif $0.4/$1.6 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
  • 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.

MetricNex-N2-ProQwen3.6 Flash
Cost per Task
Estimated USD to finish one task
$0.12$0.03
Output Tokens / Task
Tokens generated per task
18K16K
Reasoning Tokens / Task
Thinking tokens burned per task
5K2K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureNex-N2-ProQwen3.6 Flash
Official API Model ID (SDK)nex-n2-proqwen3-6-flash-instruct
API ProtocolNex AGI REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2026-062026-04
Knowledge CutoffMarch 2026March 2026
ArchitectureMid-Tier Reasoning Foundation TransformerHigh-Efficiency Multimodal Vision 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) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.4/1M in) across full 262K windowFlat rate ($0.08/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.04/1M tokensCached input at $0.008/1M 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 ClassificationNex AGI 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

Nex-N2-Pro vs Qwen3.6 Flash: Jawaban Cepat (FAQ)

Which model is faster?

Qwen3.6 Flash is faster, generating 145 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Qwen3.6 Flash is cheaper at $0.05 per 1M tokens blended, compared with $0.27 (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.

Which model has a larger context window?

Qwen3.6 Flash has a larger context window, supporting 1M tokens compared with 262.1K tokens.

Kesimpulan

Baik Nex-N2-Pro (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, 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: Nex-N2-Pro 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, Nex-N2-Pro atau Qwen3.6 Flash?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Nex-N2-Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Nex-N2-Pro vs Qwen3.6 Flash?+

Nex-N2-Pro mengenakan biaya $0.40 / $1.60 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?+

Nex-N2-Pro mendukung konteks 262.1K 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 Nex AGI & Alibaba serta evaluasi benchmark independen (2026).