Head-to-Head Model Comparison

Qwen3.7 Plus vs Qwen3.7 Max

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.

Qwen3.7 PlusProfile

Qwen3.7 MaxProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3.7 Plus

Modello Ammiraglia di Frontiera

Qwen3.7 Plus di Alibaba è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 1M, velocità di 92 token/s, indice di intelligenza di 89/100

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 Agentica e Strumenti Autonomi

Qwen3.7 Max di Alibaba è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 1M, velocità di 80 token/s, indice di intelligenza di 92/100 e tariffa di $1.8/$7

Intelligence Index92 / 100

Input Token:

$1.80 / 1M

Output Token:

$7.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

73.5%

Differenze Chiave a Colpo d’Occhio

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 →

Feature	Qwen3.7 Plus	Qwen3.7 Max
Intelligence Index Composite reasoning & knowledge score (0-100)	89	92
Provider	Alibaba	Alibaba
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 text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	16K	32K
Throughput Speed Tokens generated per second	92 tok/s	80 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

Chi vince in ogni 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

Punteggi Benchmark Verificati

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

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

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

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)

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

Finestra di contesto da 1M con capacità massima di output fino a 16K token (SWE-bench Verified 68% · GPQA Diamond 75%)
Throughput elevato di 92 token/secondo con latenza al primo token (TTFT) di soli 440 ms
Economia API competitiva ($0.8/$3.2 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

Qwen3.7 Max · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 32K token (SWE-bench Verified 73.5% · GPQA Diamond 78.5%)
Throughput elevato di 80 token/secondo con latenza al primo token (TTFT) di soli 580 ms
Economia API competitiva ($1.8/$7.2 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	Qwen3.7 Plus	Qwen3.7 Max
Cost per Task Estimated USD to finish one task	$0.24	$0.38
Output Tokens / Task Tokens generated per task	26K	32K
Reasoning Tokens / Task Thinking tokens burned per task	9K	14K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3.7 Plus	Qwen3.7 Max
Official API Model ID (SDK)	qwen3-7-plus-instruct	qwen3-7-max-instruct
API Protocol	Alibaba REST API (OpenAI-Compatible)	Alibaba REST API (OpenAI-Compatible)
Release Date	2026-06	2026-05
Knowledge Cutoff	April 2026	April 2026
Architecture	High-Value Multimodal Foundation Transformer	Next-Generation Deep Frontier Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.8/1M in) across full 1000K window	Flat rate ($1.8/1M in) across full 1000K window
Prompt Cache Policy & TTL	Cached input at $0.08/1M tokens	Cached input at $0.18/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
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	Alibaba 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, vision	text
Output Modalities	text	text

Qwen3.7 Plus vs Qwen3.7 Max: Risposte Rapide (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.

Verdetto

Sia Qwen3.7 Plus (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Qwen3.7 Max (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Qwen3.7 Max guida nei benchmark di ragionamento e programmazione, Qwen3.7 Plus garantisce una generazione più rapida e Qwen3.7 Plus offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Qwen3.7 Plus o Qwen3.7 Max?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Qwen3.7 Max. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Qwen3.7 Plus e Qwen3.7 Max?+

Qwen3.7 Plus costa $0.80 / $3.20 per milione di token di input/output, mentre Qwen3.7 Max costa $1.80 / $7.20. Nel costo combinato, Qwen3.7 Plus risulta più economico.

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

Qwen3.7 Plus supporta 1M token di contesto contro 1M token di Qwen3.7 Max, mentre Qwen3.7 Plus 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)

Qwen3.7 Plus vs Qwen3.7 Max

Cambia e Confronta Qualsiasi Modello

Qwen3.7 Plus

Qwen3.7 Max

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Qwen3.7 Plus · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.7 Max · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Qwen3.7 Plus vs Qwen3.7 Max: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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