Head-to-Head Model Comparison

Qwen3 Max vs GLM-5

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 MaxProfile

GLM-5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3 Max

IA Agentica e Strumenti Autonomi

Qwen3 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 262K, velocità di 72 token/s, indice di intelligenza di 88/100 e tariffa di $2/$6 p

Intelligence Index88 / 100

Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

62.5%

Zhipu AI

GLM-5

Modello Base a Pesi Aperti

GLM-5 di Zhipu AI è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 205K, velocità di 68 token/s, indice di intelligenza di 87/100 e tariff

Intelligence Index87 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

204.8K tokens

SWE-bench Verified:

58%

Differenze Chiave a Colpo d’Occhio

GLM-5 is 1.0x cheaper for API usage (input + output tokens combined).
Qwen3 Max has a larger context window (262K vs 205K tokens).
Qwen3 Max is faster at 72 tok/s vs 68 tok/s.
Qwen3 Max leads on SWE-bench coding (62.5% vs 58.0%).

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

Feature	Qwen3 Max	GLM-5
Intelligence Index Composite reasoning & knowledge score (0-100)	88	87
Provider	Alibaba	Zhipu AI
Input Price Cost per million input tokens	$2.00 / 1M	$0.00 / 1M
Output Price Cost per million output tokens	$6.00 / 1M	$0.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.28 / 1M	$0.00 / 1M
Context Window Maximum input + output tokens	262.1K tokens~393 A4 pages of text	204.8K tokens~307 A4 pages of text
Max Output Tokens Per single request	16K	16K
Throughput Speed Tokens generated per second	72 tok/s	68 tok/s
SWE-bench Verified Real-world software engineering	62.5%	58%
GPQA Diamond Graduate-level reasoning	71.2%	68%
Cached Input Price Prompt caching discount per 1M tokens	$0.40 / 1M	$0.00 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Qwen3 Max

+4.5% SWE-bench lead

Cost

GLM-5

1.0x cheaper monthly runtime

Speed

Qwen3 Max

+6% faster generation

Context

Qwen3 Max

262.1K tokens window

Punteggi Benchmark Verificati

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

Qwen3 MaxGLM-5

SWE-bench Verified (Autonomous Coding)

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

62.5%vs58%

GPQA Diamond (Doctorate-Level Science & Math)

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

71.2%vs68%

MMLU-Pro (Multi-task Language Understanding)

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

84.5%vs84%

LMSYS Chatbot Arena Elo

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

1395ptsvs1390pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

72 tok/s vs68 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 Max0.59s

GLM-50.58s

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

Qwen3 Max7.53s

GLM-57.93s

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 Max Monthly API Bill

$9.00 / month

$2/1M in · $6/1M out

GLM-5 Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

GLM-5 saves approximately $9.00 / month (100%) under this workload.1.0x Savings

Qwen3 Max · Strengths & Key Advantages

Finestra di contesto da 262K con capacità massima di output fino a 16K token (SWE-bench Verified 62.5% · GPQA Diamond 71.2%)
Throughput elevato di 72 token/secondo con latenza al primo token (TTFT) di soli 590 ms
Economia API competitiva ($2/$6 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
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

GLM-5 · Strengths & Key Advantages

Finestra di contesto da 205K con capacità massima di output fino a 16K token (SWE-bench Verified 58% · GPQA Diamond 68%)
Throughput elevato di 68 token/secondo con latenza al primo token (TTFT) di soli 580 ms
Pesi aperti (240B MoE) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
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 Max	GLM-5
Cost per Task Estimated USD to finish one task	$0.28	$0.00
Output Tokens / Task Tokens generated per task	25K	24K
Reasoning Tokens / Task Thinking tokens burned per task	10K	8K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3 Max	GLM-5
Official API Model ID (SDK)	qwen3-max-instruct	glm-5
API Protocol	Alibaba REST API (OpenAI-Compatible)	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-09	2026-02
Knowledge Cutoff	July 2025	December 2025
Architecture	Advanced Dense/MoE Hybrid Frontier Transformer	Frontier Sparse Mixture-of-Experts Autoregressive Transformer
Parameters	Confidential	240B MoE
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 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 ($2/1M in) across full 262K window	Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTL	Cached input at $0.4/1M 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)	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	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)
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) · 149 GB VRAM (4-bit Quantized) · 516 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
Output Modalities	text	text

Qwen3 Max vs GLM-5: Risposte Rapide (FAQ)

Which is more intelligent, Qwen3 Max or GLM-5?

Qwen3 Max is more intelligent. It scores 88 compared with 87 on the composite Intelligence Index.

Which model is faster?

Qwen3 Max is faster, generating 72 tokens per second compared with 68 tokens per second.

Which model is cheaper to run?

GLM-5 is cheaper at $0.00 per 1M tokens blended, compared with $1.28 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GLM-5 has lower latency, with a time to first token of 0.58s compared with 0.59s.

Which model has a larger context window?

Qwen3 Max has a larger context window, supporting 262.1K tokens compared with 204.8K tokens.

Verdetto

Sia Qwen3 Max (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) sia GLM-5 (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Qwen3 Max guida nei benchmark di ragionamento e programmazione, Qwen3 Max garantisce una generazione più rapida e GLM-5 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Qwen3 Max o GLM-5?+

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

Qual è la differenza di prezzo API tra Qwen3 Max e GLM-5?+

Qwen3 Max costa $2.00 / $6.00 per milione di token di input/output, mentre GLM-5 costa $0.00 / $0.00. Nel costo combinato, GLM-5 risulta più economico.

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

Qwen3 Max supporta 262.1K token di contesto contro 204.8K token di GLM-5, mentre Qwen3 Max 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 Max vs GLM-5

Cambia e Confronta Qualsiasi Modello

Qwen3 Max

GLM-5

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Qwen3 Max · Strengths & Key Advantages

Considerations & Trade-offs

GLM-5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Qwen3 Max vs GLM-5: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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