Head-to-Head Model Comparison

Qwen3.7 Plus vs Qwen3.7 Max

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
Qwen3.7 Plus vs Qwen3.7 Max: Benchmarks, Pricing & Speed Comparison

Qwen3.7 Plus da Alibaba e Qwen3.7 Max da Alibaba são dois modelos de IA de destaque. O Qwen3.7 Plus oferece uma janela de contexto de 1M tokens a $0.80/$3.20 por milhão de tokens, enquanto o Qwen3.7 Max oferece 1M tokens de contexto a $1.80/$7.20 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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Alibaba

Qwen3.7 Plus

Modelo Principal de Fronteira

O Qwen3.7 Plus da Alibaba é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 1M, velocidade de 92 tokens/s, índice de inteligência de 89/100 e ta

Intelligence Index89 / 100
Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68%

Alibaba

Qwen3.7 Max

IA Agêntica e Uso de Ferramentas

O Qwen3.7 Max da Alibaba é um modelo de IA projetado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, oferecendo janela de contexto de 1M, velocidade de 80 tokens/s, índice de inteligência de 92/100 e tarifa

Intelligence Index92 / 100
Input Token:

$1.80 / 1M

Output Token:

$7.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

73.5%

Principais Diferenças em Resumo

  • Qwen3.7 Plus is 2.2x cheaper for API usage (input + output tokens combined).
  • Qwen3.7 Plus is faster at 92 tok/s vs 80 tok/s.
  • Qwen3.7 Max leads on SWE-bench coding (73.5% vs 68.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3.7 PlusQwen3.7 Max
Intelligence Index
Composite reasoning & knowledge score (0-100)
8992
Provider
AlibabaAlibaba
Input Price
Cost per million input tokens
$0.80 / 1M$1.80 / 1M
Output Price
Cost per million output tokens
$3.20 / 1M$7.20 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.54 / 1M$1.21 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
16K32K
Throughput Speed
Tokens generated per second
92 tok/s80 tok/s
SWE-bench Verified
Real-world software engineering
68%73.5%
GPQA Diamond
Graduate-level reasoning
75%78.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.08 / 1M$0.18 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding
Qwen3.7 Max
+5.5% SWE-bench lead
Cost
Qwen3.7 Plus
2.2x cheaper monthly runtime
Speed
Qwen3.7 Plus
+15% faster generation
Context
Tied
1M tokens window

Pontuações de Benchmarks Verificadas

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

Qwen3.7 PlusQwen3.7 Max
SWE-bench Verified (Autonomous Coding)

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

68%vs73.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

75%vs78.5%
MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs88.5%
LMSYS Chatbot Arena Elo

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

1435ptsvs1470pts
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs86%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

92 tok/s vs80 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
Qwen3.7 Plus0.44s
Qwen3.7 Max0.58s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3.7 Plus5.87s
Qwen3.7 Max6.83s

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)
Qwen3.7 Plus Monthly API Bill
$4.20 / month
$0.8/1M in · $3.2/1M out
Qwen3.7 Max Monthly API Bill
$9.45 / month
$1.8/1M in · $7.2/1M out
Qwen3.7 Plus saves approximately $5.25 / month (56%) under this workload.2.2x Savings

Qwen3.7 Plus · Strengths & Key Advantages

  • Janela de contexto de 1M com limite máximo de saída de 16K tokens (SWE-bench Verified 68% · GPQA Diamond 75%)
  • Taxa de transferência rápida de 92 tokens/segundo com latência inicial (TTFT) de 440 ms
  • Economia de API competitiva ($0.8/$3.2 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

Qwen3.7 Max · Strengths & Key Advantages

  • Janela de contexto de 1M com limite máximo de saída de 32K tokens (SWE-bench Verified 73.5% · GPQA Diamond 78.5%)
  • Taxa de transferência rápida de 80 tokens/segundo com latência inicial (TTFT) de 580 ms
  • Economia de API competitiva ($1.8/$7.2 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.

MetricQwen3.7 PlusQwen3.7 Max
Cost per Task
Estimated USD to finish one task
$0.24$0.38
Output Tokens / Task
Tokens generated per task
26K32K
Reasoning Tokens / Task
Thinking tokens burned per task
9K14K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3.7 PlusQwen3.7 Max
Official API Model ID (SDK)qwen3-7-plus-instructqwen3-7-max-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2026-062026-05
Knowledge CutoffApril 2026April 2026
ArchitectureHigh-Value Multimodal Foundation TransformerNext-Generation Deep Frontier Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.8/1M in) across full 1000K windowFlat rate ($1.8/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.08/1M tokensCached input at $0.18/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
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 Modalitiestext, visiontext
Output Modalitiestexttext

Qwen3.7 Plus vs Qwen3.7 Max: Respostas Rápidas (FAQ)

Which is more intelligent, Qwen3.7 Plus or Qwen3.7 Max?

Qwen3.7 Max is more intelligent. It scores 92 compared with 89 on the composite Intelligence Index.

Which model is faster?

Qwen3.7 Plus is faster, generating 92 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

Qwen3.7 Plus is cheaper at $0.54 per 1M tokens blended, compared with $1.21 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.7 Plus has lower latency, with a time to first token of 0.44s compared with 0.58s.

Veredito

Tanto Qwen3.7 Plus (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Qwen3.7 Max (Indicado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Qwen3.7 Max lidera em inteligência geral e programação, Qwen3.7 Plus oferece geração mais rápida e Qwen3.7 Plus apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Qwen3.7 Plus ou Qwen3.7 Max?+

Nas avaliações de inteligência e código, Qwen3.7 Max leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Qwen3.7 Plus ou Qwen3.7 Max?+

O Qwen3.7 Plus custa $0.80 / $3.20 por 1M de tokens (entrada/saída) e o Qwen3.7 Max custa $1.80 / $7.20. No custo combinado, Qwen3.7 Plus é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Qwen3.7 Plus suporta 1M tokens de contexto contra 1M tokens do Qwen3.7 Max, enquanto Qwen3.7 Plus 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 Alibaba e Alibaba e benchmarks independentes (2026).