Head-to-Head Model Comparison

Qwen3 Max vs GLM-5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Model Agen Otonom & Alat

Qwen3 Max dari Alibaba adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 262K, kecepatan 72 token/detik, indeks kecerdasan 88/100, serta

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

Model Dasar Bobot Terbuka

GLM-5 dari Zhipu AI adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 205K, kecepatan 68 token/detik, indeks kecerdasan 87/100, serta akses gratis open-

Intelligence Index87 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

204.8K tokens

SWE-bench Verified:

58%

Perbedaan Utama Sekilas

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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 62.5% · GPQA Diamond 71.2%)
Kecepatan generasi tinggi 72 token/detik dengan latensi token pertama (TTFT) hanya 590 ms
Skema harga API kompetitif (tarif $2/$6 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

GLM-5 · Strengths & Key Advantages

Jendela konteks 205K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 58% · GPQA Diamond 68%)
Kecepatan generasi tinggi 68 token/detik dengan latensi token pertama (TTFT) hanya 580 ms
Bobot terbuka (240B MoE) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik Qwen3 Max (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GLM-5 (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen3 Max unggul dalam penalaran dan pemrograman, Qwen3 Max memberikan kecepatan generasi token lebih tinggi, dan GLM-5 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen3 Max atau GLM-5?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen3 Max memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Qwen3 Max vs GLM-5?+

Qwen3 Max mengenakan biaya $2.00 / $6.00 per 1M token input/output, sedangkan GLM-5 sebesar $0.00 / $0.00. Secara keseluruhan, GLM-5 lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Qwen3 Max mendukung konteks 262.1K token dibandingkan 204.8K token pada GLM-5, sementara Qwen3 Max unggul dalam kecepatan output token per detik.

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

Ganti & Bandingkan Model Apa Saja

Qwen3 Max

GLM-5

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Qwen3 Max · Strengths & Key Advantages

Considerations & Trade-offs

GLM-5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Qwen3 Max vs GLM-5: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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