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GLM-4.6 vs o3
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o3 offers 103.4K more tokens in context window than GLM-4.6. GLM-4.6 is $7.40 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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
o3 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
5 months newer
o3
OpenAI
2025-04-16
GLM-4.6
Zhipu AI
2025-09-30
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00($7.40 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GLM-4.6
Average Score:72.0%
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o3
Average Score:72.1%(+0.1%)
Performance comparison across key benchmark categories
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GLM-4.6
Coding68.0%
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o3
Coding69.1%(+1.1%)
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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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o3
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GLM-4.6
Avg Score:72.0%
Providers:2
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o3
Avg Score:72.1%(+0.1%)
Providers:1