Qwen3.8 Max vs GLM-5.2

Qwen3.8 Max from Qwen and GLM-5.2 from Z.ai are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.

Overall Recommendation

For a Qwen vs GLM choice, select Qwen3.8 Max for broad professional work, research, and autonomous multi-step execution. Choose GLM-5.2 when the primary workload is long-horizon software engineering and you need TokenHub-published 1M context, 131K max output, pricing, tool calling, and three protocol options. The current Qwen row lacks enough TokenHub metadata for a fair cost comparison.

Comparison Highlights

Qwen3.8 MaxQwen
GLM-5.2Z.ai
Best For
Professional workresearchautonomous multi-step agents
Long-horizon codingproject-scale software engineering
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
CodingResearchReliable end-to-end execution
1M contextFlexible effortMulti-protocol API
How To Read ItThe workloads each model is most directly shaped for.
Input
$2/M
$1.1429/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$6/M
$4/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Image, Text, VideoEdge
Text
How To Read ItBroader input support reduces the need for separate vision or video models.

Model Selection Guide

Qwen3.8 MaxQwen

Choose Qwen3.8 Max When

  • Qwen positions Qwen3.8 Max as a Max-class model with gains in coding, professional work, research, and long-horizon agents
  • The official release emphasizes stronger autonomous planning and better handling of environment feedback
  • Reasoning depth is configurable through reasoning_effort, with preserved thinking context for multi-turn work
GLM-5.2Z.ai

Choose GLM-5.2 When

  • Z.ai positions GLM-5.2 specifically for sustained coding and long-horizon engineering tasks
  • TokenHub lists 1M context, 131K max output, reasoning, tool calling, and OpenAI, Anthropic, and Gemini protocols
  • Unlike the current Qwen row, GLM-5.2 has complete TokenHub price and capability fields on this page

Basic Information

Qwen3.8 MaxQwen
GLM-5.2Z.ai

Name

Qwen3.8 MaxQwen3.8 Max

Model id

Qwen3.8 Maxqwen3.8-max

Data source

Qwen3.8 MaxTokenHub production catalog

Intro

Qwen3.8 MaxQwen3.8-Max is a 2.4T-parameter MoE flagship model designed for advanced reasoning, coding, and enterprise productivity. It can autonomously execute complex, long-running tasks — from software development to professional workflows — delivering production-grade outcomes across domains such as law, finance, and design. Powered by native multimodal intelligence, Qwen3.8-Max understands text, images, and videos across long contexts, supporting deep analysis of extensive documents and long-form content. Its agentic capabilities enable autonomous planning, execution, verification, and continuous iteration throughout complex workflows.

Author

Qwen3.8 MaxQwen

Released date

Qwen3.8 Max2026-08-03

Context length

Qwen3.8 Max1M

Max output tokens

Qwen3.8 Max128K

Name

GLM-5.2GLM-5.2

Model id

GLM-5.2glm-5.2

Data source

GLM-5.2TokenHub production catalog

Intro

GLM-5.2GLM-5.2 is Z.ai’s flagship foundation model for long-horizon engineering tasks. It emphasizes a usable 1M-token context window for project-scale code and system context, more stable execution on long tasks, and better adherence to engineering standards. It is positioned for full development workflows, from requirements and repository analysis to implementation, testing, and multi-platform deployment, where large context and sustained agent behavior matter.

Author

GLM-5.2Z.ai

Released date

GLM-5.22026-06-13

Context length

GLM-5.21M

Max output tokens

GLM-5.2131.1K

Pricing

Qwen3.8 MaxQwen
GLM-5.2Z.ai

Input

Qwen3.8 Max$2/M

Output

Qwen3.8 Max$6/M

Cached input

Qwen3.8 Max$0.25/M

Input

GLM-5.2$1.1429/M

Output

GLM-5.2$4/M

Cached input

GLM-5.2$0.2857/M

Capabilities

Qwen3.8 MaxQwen
GLM-5.2Z.ai

Reasoning

Qwen3.8 Max

Knowledge

Qwen3.8 Maxn/a

Attachment

Qwen3.8 Max

Input modalities

Qwen3.8 MaxImage, Text, Video

Output modalities

Qwen3.8 MaxText

Temperature

Qwen3.8 Max

Tool use

Qwen3.8 Max

Reasoning

GLM-5.2

Knowledge

GLM-5.2n/a

Attachment

GLM-5.2

Input modalities

GLM-5.2Text

Output modalities

GLM-5.2Text

Temperature

GLM-5.2

Tool use

GLM-5.2

Benchmark

Qwen3.8 MaxQwenNo benchmark data
GLM-5.2Z.ai

Intelligence

n/a

Coding

n/a

Intelligence

wins51.1

Coding

wins68.8

Knowledge & Reasoning

GPQA

n/a

HLE

n/a

GPQA

wins89.5%

HLE

wins40.1%

Coding

SciCode

n/a

Terminal-Bench Hard

n/a

SciCode

wins50.5%

Terminal-Bench Hard

wins50.8%

Instruction Following & Agent Tasks

IFBench

n/a

AA-LCR

n/a

Tau2

n/a

IFBench

wins73.3%

AA-LCR

wins71.3%

Tau2

wins99.1%

FAQ

Which model is better, Qwen3.8 Max or GLM-5.2?

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Neither model is universally better. Start with the Model Selection Guide above to match each model to your task, then use pricing, context length, maximum output, and capability rows to confirm the operational fit.

Is GLM-5.2 cheaper than Qwen3.8 Max?

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Use the pricing rows above to compare input, output, and cached input prices for Qwen3.8 Max and GLM-5.2.

Which model supports a longer context length?

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Qwen3.8 Max lists 1M context length, while GLM-5.2 lists 1M.

Can I access both models through TokenHub?

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If both models are available in the TokenHub catalog, you can route requests to Qwen3.8 Max and GLM-5.2 through the TokenHub API.