Head-to-Head Model Comparison

Qwen3.7 Plus vs Qwen3.7 Max

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Qwen3.7 PlusProfile

Qwen3.7 MaxProfile

Multi-Model Arena Stack:

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Popular Matchups:

Alibaba

Qwen3.7 Plus

Frontier-Flaggschiff-Modell

Qwen3.7 Plus von Alibaba ist ein KI-Modell für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows mit 1M Kontextfenster, 92 Token/s Durchsatz, einem Intelligenz-Index von 89/100 und $0.8/$3.2 pro 1M Token.

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

Autonomes Agenten-Modell

Qwen3.7 Max von Alibaba ist ein KI-Modell für autonome Agenten-Workflows, zuverlässiges Tool-Calling und mehrstufige Automatisierung mit 1M Kontextfenster, 80 Token/s Durchsatz, einem Intelligenz-Index von 92/100 und $1.8/$7.2 pro 1M Token.

Intelligence Index92 / 100

Input Token:

$1.80 / 1M

Output Token:

$7.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

73.5%

Wichtigste Unterschiede auf einen Blick

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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

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

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

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)

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

1M Kontextfenster und bis zu 16K maximale Output-Token (SWE-bench Verified 68% · GPQA Diamond 75%)
Hohe Generierungsgeschwindigkeit von 92 Token/Sekunde bei nur 440 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.8/$3.2 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

Qwen3.7 Max · Strengths & Key Advantages

1M Kontextfenster und bis zu 32K maximale Output-Token (SWE-bench Verified 73.5% · GPQA Diamond 78.5%)
Hohe Generierungsgeschwindigkeit von 80 Token/Sekunde bei nur 580 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($1.8/$7.2 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	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

Technische Spezifikationen

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: Schnelle Antworten (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.

Fazit

Sowohl Qwen3.7 Plus (Optimal für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Qwen3.7 Max (Optimal für autonome Agenten-Workflows, zuverlässiges Tool-Calling und mehrstufige Automatisierung, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Qwen3.7 Max führt bei komplexem Reasoning und Coding, Qwen3.7 Plus liefert den höheren Token-Durchsatz und Qwen3.7 Plus ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Qwen3.7 Plus oder Qwen3.7 Max?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Qwen3.7 Max vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Qwen3.7 Plus und Qwen3.7 Max?+

Qwen3.7 Plus kostet $0.80 / $3.20 pro 1M Input-/Output-Tokens, Qwen3.7 Max liegt bei $1.80 / $7.20. Beim gewichteten Gesamtpreis ist Qwen3.7 Plus günstiger.

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

Qwen3.7 Plus bietet 1M Tokens Kontext gegenüber 1M Tokens bei Qwen3.7 Max. Bei der Generierungsgeschwindigkeit liegt Qwen3.7 Plus 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)

Qwen3.7 Plus vs Qwen3.7 Max

Beliebige Modelle wechseln & vergleichen

Qwen3.7 Plus

Qwen3.7 Max

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Qwen3.7 Plus · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.7 Max · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Qwen3.7 Plus vs Qwen3.7 Max: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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