Head-to-Head Model Comparison

Nex-N2-Pro vs Qwen3.6 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política 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
Nex-N2-Pro vs Qwen3.6 Flash: Benchmarks, Pricing & Speed Comparison

Nex-N2-Pro da Nex AGI e Qwen3.6 Flash da Alibaba são dois modelos de IA de destaque. O Nex-N2-Pro oferece uma janela de contexto de 262.1K tokens a $0.40/$1.60 por milhão de tokens, enquanto o Qwen3.6 Flash oferece 1M tokens de contexto a $0.08/$0.32 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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Popular Matchups:
Nex AGI

Nex-N2-Pro

Motor de Raciocínio Profundo

O Nex-N2-Pro da Nex AGI é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 262K, velocidade de 85 tokens/s, índice de inteligência de 81/100

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 Multimodal Nativa

O Qwen3.6 Flash da Alibaba é um modelo de IA projetado para compreensão multimodal nativa de texto e imagem e leitura visual de documentos, oferecendo janela de contexto de 1M, velocidade de 145 tokens/s, índice de inteligência de 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

Principais Diferenças em Resumo

  • 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

Quem vence em cada 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

Pontuações de Benchmarks Verificadas

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

Latência e Tempo de Resposta

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

Simulador Interativo de Custo de Tokens

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

  • Janela de contexto de 262K com limite máximo de saída de 16K tokens (GPQA Diamond 62% · MMLU-Pro 78%)
  • Taxa de transferência rápida de 85 tokens/segundo com latência inicial (TTFT) de 460 ms
  • Economia de API competitiva ($0.4/$1.6 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Qwen3.6 Flash · Strengths & Key Advantages

  • Janela de contexto de 1M com limite máximo de saída de 16K tokens (GPQA Diamond 61.5% · MMLU-Pro 78%)
  • Taxa de transferência rápida de 145 tokens/segundo com latência inicial (TTFT) de 310 ms
  • Economia de API competitiva ($0.08/$0.32 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

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

Especificações Técnicas

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: Respostas Rápidas (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.

Veredito

Tanto Nex-N2-Pro (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) quanto Qwen3.6 Flash (Indicado para compreensão multimodal nativa de texto e imagem e leitura visual de documentos, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Nex-N2-Pro lidera em inteligência geral e programação, Qwen3.6 Flash oferece geração mais rápida e Qwen3.6 Flash apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Nex-N2-Pro ou Qwen3.6 Flash?+

Nas avaliações de inteligência e código, Nex-N2-Pro leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Nex-N2-Pro ou Qwen3.6 Flash?+

O Nex-N2-Pro custa $0.40 / $1.60 por 1M de tokens (entrada/saída) e o Qwen3.6 Flash custa $0.08 / $0.32. No custo combinado, Qwen3.6 Flash é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Nex-N2-Pro suporta 262.1K tokens de contexto contra 1M tokens do Qwen3.6 Flash, enquanto Qwen3.6 Flash entrega maior velocidade de geração.

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.

Fontes oficiais: Documentação oficial de API da Nex AGI e Alibaba e benchmarks independentes (2026).