Head-to-Head Model Comparison

Nex-N2-Pro vs Qwen3.6 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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

Nex-N2-ProProfile

Qwen3.6 FlashProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Nex AGI

Nex-N2-Pro

Motore di Ragionamento Profondo

Nex-N2-Pro di Nex AGI è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 262K, velocità di 85 token/s, indice di intelligenza di 81/100 e tariffa di

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

IA Multimodale Nativa

Qwen3.6 Flash di Alibaba è un modello di IA progettato per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, con finestra di contesto da 1M, velocità di 145 token/s, indice di intelligenza di 81/100 e

Intelligence Index81 / 100

Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

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

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

Finestra di contesto da 262K con capacità massima di output fino a 16K token (GPQA Diamond 62% · MMLU-Pro 78%)
Throughput elevato di 85 token/secondo con latenza al primo token (TTFT) di soli 460 ms
Economia API competitiva ($0.4/$1.6 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Qwen3.6 Flash · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 16K token (GPQA Diamond 61.5% · MMLU-Pro 78%)
Throughput elevato di 145 token/secondo con latenza al primo token (TTFT) di soli 310 ms
Economia API competitiva ($0.08/$0.32 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Nex-N2-Pro (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Qwen3.6 Flash (Ideale per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Nex-N2-Pro guida nei benchmark di ragionamento e programmazione, Qwen3.6 Flash garantisce una generazione più rapida e Qwen3.6 Flash offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Nex-N2-Pro o Qwen3.6 Flash?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Nex-N2-Pro. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Nex-N2-Pro e Qwen3.6 Flash?+

Nex-N2-Pro costa $0.40 / $1.60 per milione di token di input/output, mentre Qwen3.6 Flash costa $0.08 / $0.32. Nel costo combinato, Qwen3.6 Flash risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Nex-N2-Pro supporta 262.1K token di contesto contro 1M token di Qwen3.6 Flash, mentre Qwen3.6 Flash offre una velocità di generazione superiore.

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

Cambia e Confronta Qualsiasi Modello

Nex-N2-Pro

Qwen3.6 Flash

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Nex-N2-Pro · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.6 Flash · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Nex-N2-Pro vs Qwen3.6 Flash: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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