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GLM-4.6 vs o3-mini
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 11.3% higher average benchmark score. o3-mini offers 103.4K more tokens in context window than GLM-4.6. GLM-4.6 is $2.90 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, GLM-4.6 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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
8 months newer
o3-mini
OpenAI
2025-01-30
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($2.90 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.6
Average Score:74.5%(+11.3%)
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o3-mini
Average Score:63.3%
Performance comparison across key benchmark categories
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GLM-4.6
Coding68.0%(+18.7%)
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o3-mini
Coding49.3%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
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GLM-4.6
Avg Score:74.5%(+11.3%)
Providers:2
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o3-mini
Avg Score:63.3%
Providers:2