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QwQ 32B vs GLM 5.2

At a glance

Qwen's dedicated reasoning model at 32B scale.

Z.ai's frontier reasoning model for long-context agents and software engineering.

831.0M ctx$0.78/$2.44 per M#16/92
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:Epoch AI· as of 2026-07-10
Capability
Capability—
Reasoning & Knowledge
Graduate Science—Factual Recall—
Math
Competition Math—
Coding
Real-World Coding—Code Editing20.9%
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Competition Math86.4%
Coding
Real-World Coding78.7%Code Editing—
Specs
—
Context
—
Max output
—
Released
1.0M
Context
131K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$0.78/M tokens
Output$2.44/M tokens
Cache read$0.14/M tokens
Chat with QwQ 32BGo to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: QwQ 32B vs GLM 5.2▼

Which is better, QwQ 32B or GLM 5.2?

▼

Both QwQ 32B and GLM 5.2 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

What are the key differences between QwQ 32B and GLM 5.2?

▼

Key differences: only GLM 5.2 supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both QwQ 32B and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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