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GLM 5.2 vs GPT 5.3 Codex

At a glance
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
OpenAIGPT 5.3 Codex

OpenAI's most advanced agentic coding model with 400K context.

87400K ctx$1.75/$14.00 per M#8/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Zhipu AIGLM 5.2
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Competition Math86.4%
Coding
Real-World Coding78.7%
Agentic
Terminal Tasks—Task Horizon—
OpenAIGPT 5.3 Codex
Reasoning
ReasoningInsufficient data
MathInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter
Capability
CapabilityECI87.0
Reasoning & Knowledge
Graduate Science—Factual Recall—
Math
Competition Math—
Coding
Real-World Coding74.8%
Agentic
Terminal Tasks78.4%Task Horizon5.8h
Specs
Zhipu AIGLM 5.2
262K
Context
128K
Max output
Jun 2026
Released
OpenAIGPT 5.3 Codex
400K
Context
128K
Max output
Feb 2026
Released
Capabilities
Zhipu AIGLM 5.2
Vision
Audio
Reasoning
OpenAIGPT 5.3 Codex
Vision
Audio
Reasoning
Pricing
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
OpenAIGPT 5.3 Codex
Live pricing, shown before you run
Input$1.75/M tokens
Output$14.00/M tokens
Cache read$0.17/M tokens
Web search$0.01/search
Chat with GLM 5.2Go to model
Chat with GPT 5.3 CodexGo to model
Frequently Asked Questions: GLM 5.2 vs GPT 5.3 Codex▼

Which is better, GLM 5.2 or GPT 5.3 Codex?

▼

Based on the Capability Index, GPT 5.3 Codex scores higher (87.0 vs 83.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, GLM 5.2 or GPT 5.3 Codex?

▼

GLM 5.2 has a lower blended cost. GLM 5.2: $1.40 input / $4.40 output. GPT 5.3 Codex: $1.75 input / $14.00 output.

Which has a larger context window, GLM 5.2 or GPT 5.3 Codex?

▼

GPT 5.3 Codex has a larger context window: GLM 5.2 supports 262K tokens vs GPT 5.3 Codex at 400K tokens.

Do both GLM 5.2 and GPT 5.3 Codex support vision?

▼

GPT 5.3 Codex supports vision/image input, but GLM 5.2 does not.

Which has better coding performance, GLM 5.2 or GPT 5.3 Codex?

▼

GLM 5.2 scores higher on SWE-bench Verified: GLM 5.2 resolves 79% vs GPT 5.3 Codex at 75%.

What are the key differences between GLM 5.2 and GPT 5.3 Codex?

▼

Key differences: only GPT 5.3 Codex 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 GLM 5.2 and GPT 5.3 Codex for free on idapt.app to see which performs better for your specific needs.

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