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o1 vs GLM 5.2

At a glance
OpenAIo1

OpenAI's original frontier reasoning model with deep thinking.

75200K ctx$15.00/$60.00 per M#42/92
Zhipu AIGLM 5.2

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

83262K ctx$1.40/$4.40 per M#16/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
OpenAIo1
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI75.2
Reasoning & Knowledge
Graduate Science76.8%Factual Recall—
Math
Math Problems94.7%Competition Math73.3%Research Math9.3%
Coding
Real-World Coding—Code Editing61.7%
Agentic
Task Horizon39min
Zhipu AIGLM 5.2
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
SmarterCheaper
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Math Problems—Competition Math86.4%Research Math—
Coding
Real-World Coding78.7%Code Editing—
Agentic
Task Horizon—
Specs
OpenAIo1
200K
Context
100K
Max output
Dec 2024
Released
Zhipu AIGLM 5.2
262K
Context
128K
Max output
Jun 2026
Released
Capabilities
OpenAIo1
Vision
Audio
Reasoning
Zhipu AIGLM 5.2
Vision
Audio
Reasoning
Pricing
OpenAIo1
Live pricing, shown before you run
Input$15.00/M tokens
Output$60.00/M tokens
Cache read$7.50/M tokens
Web search$0.01/search
Zhipu AIGLM 5.2
Live pricing, shown before you run
Input$1.40/M tokens
Output$4.40/M tokens
Cache read$0.26/M tokens
Chat with o1Go to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: o1 vs GLM 5.2▼

Which is better, o1 or GLM 5.2?

▼

Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 75.2). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, o1 or GLM 5.2?

▼

GLM 5.2 has a lower blended cost. o1: $15.00 input / $60.00 output. GLM 5.2: $1.40 input / $4.40 output.

Which has a larger context window, o1 or GLM 5.2?

▼

GLM 5.2 has a larger context window: o1 supports 200K tokens vs GLM 5.2 at 262K tokens.

Do both o1 and GLM 5.2 support vision?

▼

o1 supports vision/image input, but GLM 5.2 does not.

What are the key differences between o1 and GLM 5.2?

▼

Key differences: GLM 5.2 has a notably higher capability index (8.2 point gap); GLM 5.2 is significantly cheaper; only o1 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 o1 and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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