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GLM-4.6 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 6.5% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Overall, GPT-5 Codex is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
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OpenAI
GPT-5 Codex was developed as a specialized variant of GPT-5 optimized for programming and software development tasks. Built to understand and generate code across multiple programming languages, it serves developers with enhanced capabilities for code completion, debugging, translation, and explanation of complex codebases.
15 days newer
GPT-5 Codex
OpenAI
2025-09-15
GLM-4.6
Zhipu AI
2025-09-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:68.0%
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GPT-5 Codex
Average Score:74.5%(+6.5%)
Performance comparison across key benchmark categories
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GLM-4.6
Coding68.0%
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GPT-5 Codex
Coding74.5%(+6.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-5 Codex
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GLM-4.6
Avg Score:68.0%
Providers:2
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GPT-5 Codex
Avg Score:74.5%(+6.5%)
Providers:0