Head-to-Head Model Comparison

Qwen3.7 Max vs Qwen3.8 Max Preview

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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

Qwen3.7 MaxProfile

Qwen3.8 Max PreviewProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3.7 Max

Otonom Ajan ve Araç Modeli

Alibaba tarafından geliştirilen Qwen3.7 Max; otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon için tasarlanmış olup 1M bağlam penceresi, 80 token/sn hız, 92/100 zeka indeksi ve 1M token başına $1.8/$7.2 fiyatland

Intelligence Index92 / 100

Input Token:

$1.80 / 1M

Output Token:

$7.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

73.5%

Alibaba

Qwen3.8 Max Preview

Açık Ağırlıklı Temel Model

Alibaba tarafından geliştirilen Qwen3.8 Max Preview; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 1M bağlam penceresi, 60 token/sn hız, 93/100 zeka indeksi ve ücretsiz açık ağ

Intelligence Index93 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

75.2%

Bir Bakışta Temel Farklar

Qwen3.8 Max Preview is 1.0x cheaper for API usage (input + output tokens combined).
Qwen3.7 Max is faster at 80 tok/s vs 60 tok/s.
Qwen3.8 Max Preview leads on SWE-bench coding (75.2% vs 73.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Qwen3.7 Max	Qwen3.8 Max Preview
Intelligence Index Composite reasoning & knowledge score (0-100)	92	93
Provider	Alibaba	Alibaba
Input Price Cost per million input tokens	$1.80 / 1M	$0.00 / 1M
Output Price Cost per million output tokens	$7.20 / 1M	$0.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.21 / 1M	$0.00 / 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	32K	32K
Throughput Speed Tokens generated per second	80 tok/s	60 tok/s
SWE-bench Verified Real-world software engineering	73.5%	75.2%
GPQA Diamond Graduate-level reasoning	78.5%	79.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.18 / 1M	$0.00 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Qwen3.8 Max Preview

+1.7% SWE-bench lead

Cost

Qwen3.8 Max Preview

1.0x cheaper monthly runtime

Speed

Qwen3.7 Max

+33% faster generation

Context

Tied

1M tokens window

Doğrulanmış Benchmark Puanları

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

Qwen3.7 MaxQwen3.8 Max Preview

SWE-bench Verified (Autonomous Coding)

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

73.5%vs75.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

78.5%vs79.5%

MMLU-Pro (Multi-task Language Understanding)

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

88.5%vs89%

LMSYS Chatbot Arena Elo

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

1470ptsvs1485pts

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs77%

AIME (Advanced Math Competition)

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

86%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs60 tok/s

Gecikme Süresi ve Yanıt Hızı

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 Max0.58s

Qwen3.8 Max Preview0.68s

Est. End-to-End Response (500 tokens)TTFT + generation time

Qwen3.7 Max6.83s

Qwen3.8 Max Preview9.01s

Gerçek Zamanlı Token Maliyet Simülatörü

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 Max Monthly API Bill

$9.45 / month

$1.8/1M in · $7.2/1M out

Qwen3.8 Max Preview Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Qwen3.8 Max Preview saves approximately $9.45 / month (100%) under this workload.1.0x Savings

Qwen3.7 Max · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 32K çıktı tokenı kapasitesi (SWE-bench Verified 73.5% · GPQA Diamond 78.5%)
Sadece 580 ms ilk token gecikmesi (TTFT) ile saniyede 80 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1.8/$7.2 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Qwen3.8 Max Preview · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 32K çıktı tokenı kapasitesi (SWE-bench Verified 75.2% · GPQA Diamond 79.5%)
Sadece 680 ms ilk token gecikmesi (TTFT) ile saniyede 60 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (2.4T total (95B MoE))

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Qwen3.7 Max	Qwen3.8 Max Preview
Cost per Task Estimated USD to finish one task	$0.38	$0.00
Output Tokens / Task Tokens generated per task	32K	35K
Reasoning Tokens / Task Thinking tokens burned per task	14K	15K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3.7 Max	Qwen3.8 Max Preview
Official API Model ID (SDK)	qwen3-7-max-instruct	qwen3-8-max-preview-instruct
API Protocol	Alibaba REST API (OpenAI-Compatible)	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-05	2026-07
Knowledge Cutoff	April 2026	April 2026
Architecture	Next-Generation Deep Frontier Reasoning Transformer	Colossus-Scale Open Sparse Mixture-of-Experts
Parameters	Confidential	2.4T total (95B active MoE)
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Flat rate ($1.8/1M in) across full 1000K window	Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTL	Cached input at $0.18/1M tokens	Automatic prefix KV-caching in vLLM / SGLang (0 cost)
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	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
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)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 1488 GB VRAM (4-bit Quantized) · 5160 GB VRAM (Native BF16)
Safety & Frontier Classification	Alibaba Production Safety & Alignment Verified	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text	text, vision
Output Modalities	text	text

Qwen3.7 Max vs Qwen3.8 Max Preview: Hızlı Yanıtlar (SSS)

Which is more intelligent, Qwen3.7 Max or Qwen3.8 Max Preview?

Qwen3.8 Max Preview is more intelligent. It scores 93 compared with 92 on the composite Intelligence Index.

Which model is faster?

Qwen3.7 Max is faster, generating 80 tokens per second compared with 60 tokens per second.

Which model is cheaper to run?

Qwen3.8 Max Preview is cheaper at $0.00 per 1M tokens blended, compared with $1.21 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.7 Max has lower latency, with a time to first token of 0.58s compared with 0.68s.

Sonuç

Hem Qwen3.7 Max (otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Qwen3.8 Max Preview (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Qwen3.8 Max Preview karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Qwen3.7 Max daha yüksek üretim hızı sağlar; Qwen3.8 Max Preview ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Qwen3.7 Max mi yoksa Qwen3.8 Max Preview mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Qwen3.8 Max Preview önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Qwen3.7 Max ve Qwen3.8 Max Preview API fiyatları nasıl karşılaştırılır?+

Qwen3.7 Max 1M giriş/çıkış tokeni başına $1.80 / $7.20 ücretlendirilirken, Qwen3.8 Max Preview $0.00 / $0.00 seviyesindedir. Karma maliyette Qwen3.8 Max Preview daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Qwen3.7 Max 1M token bağlam penceresi sunarken Qwen3.8 Max Preview 1M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Qwen3.7 Max öndedir.

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 Max vs Qwen3.8 Max Preview

İstediğiniz Modelleri Seçin ve Karşılaştırın

Qwen3.7 Max

Qwen3.8 Max Preview

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Qwen3.7 Max · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.8 Max Preview · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Qwen3.7 Max vs Qwen3.8 Max Preview: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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