Head-to-Head Model Comparison

Nex-N2-Pro vs Qwen3.6 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Nex-N2-ProProfile

Qwen3.6 FlashProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Nex AGI

Nex-N2-Pro

Deep-Reasoning-Engine

Nex-N2-Pro von Nex AGI ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 262K Kontextfenster, 85 Token/s Durchsatz, einem Intelligenz-Index von 81/100 und $0.4/$1.6 pro 1M Token.

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

Nativ Multimodale KI

Qwen3.6 Flash von Alibaba ist ein KI-Modell für nativ multimodale Verarbeitung von Text und Bild sowie visuelle Dokumentenanalyse mit 1M Kontextfenster, 145 Token/s Durchsatz, einem Intelligenz-Index von 81/100 und $0.08/$0.32 pro 1M Token.

Intelligence Index81 / 100

Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Wichtigste Unterschiede auf einen Blick

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 →

Feature	Nex-N2-Pro	Qwen3.6 Flash
Intelligence Index Composite reasoning & knowledge score (0-100)	81	81
Provider	Nex AGI	Alibaba
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 text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	16K	16K
Throughput Speed Tokens generated per second	85 tok/s	145 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	62%	61.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.04 / 1M	$0.01 / 1M

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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)

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

262K Kontextfenster und bis zu 16K maximale Output-Token (GPQA Diamond 62% · MMLU-Pro 78%)
Hohe Generierungsgeschwindigkeit von 85 Token/Sekunde bei nur 460 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.4/$1.6 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Qwen3.6 Flash · Strengths & Key Advantages

1M Kontextfenster und bis zu 16K maximale Output-Token (GPQA Diamond 61.5% · MMLU-Pro 78%)
Hohe Generierungsgeschwindigkeit von 145 Token/Sekunde bei nur 310 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.08/$0.32 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Token Use & Task Economics

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

Metric	Nex-N2-Pro	Qwen3.6 Flash
Cost per Task Estimated USD to finish one task	$0.12	$0.03
Output Tokens / Task Tokens generated per task	18K	16K
Reasoning Tokens / Task Thinking tokens burned per task	5K	2K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	Nex-N2-Pro	Qwen3.6 Flash
Official API Model ID (SDK)	nex-n2-pro	qwen3-6-flash-instruct
API Protocol	Nex AGI REST API (OpenAI-Compatible)	Alibaba REST API (OpenAI-Compatible)
Release Date	2026-06	2026-04
Knowledge Cutoff	March 2026	March 2026
Architecture	Mid-Tier Reasoning Foundation Transformer	High-Efficiency Multimodal Vision Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	5,000 – 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 window	Flat rate ($0.08/1M in) across full 1000K window
Prompt Cache Policy & TTL	Cached input at $0.04/1M tokens	Cached input at $0.008/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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) · Vision (~258–765 tokens per image tile)
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	Nex AGI Production Safety & Alignment Verified	Alibaba 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, vision
Output Modalities	text	text

Nex-N2-Pro vs Qwen3.6 Flash: Schnelle Antworten (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.

Fazit

Sowohl Nex-N2-Pro (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Qwen3.6 Flash (Optimal für nativ multimodale Verarbeitung von Text und Bild sowie visuelle Dokumentenanalyse, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Nex-N2-Pro führt bei komplexem Reasoning und Coding, Qwen3.6 Flash liefert den höheren Token-Durchsatz und Qwen3.6 Flash ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Nex-N2-Pro oder Qwen3.6 Flash?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Nex-N2-Pro vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Nex-N2-Pro und Qwen3.6 Flash?+

Nex-N2-Pro kostet $0.40 / $1.60 pro 1M Input-/Output-Tokens, Qwen3.6 Flash liegt bei $0.08 / $0.32. Beim gewichteten Gesamtpreis ist Qwen3.6 Flash günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Nex-N2-Pro bietet 262.1K Tokens Kontext gegenüber 1M Tokens bei Qwen3.6 Flash. Bei der Generierungsgeschwindigkeit liegt Qwen3.6 Flash vorn.

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)

Nex-N2-Pro vs Qwen3.6 Flash

Beliebige Modelle wechseln & vergleichen

Nex-N2-Pro

Qwen3.6 Flash

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Nex-N2-Pro · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.6 Flash · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Nex-N2-Pro vs Qwen3.6 Flash: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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