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GLM-4.6 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 1.4% higher average benchmark score. o4-mini offers 103.4K more tokens in context window than GLM-4.6. GLM-4.6 is $2.90 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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
5 months newer
o4-mini
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($2.90 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
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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o4-mini
Average Score:73.4%(+1.4%)
Performance comparison across key benchmark categories
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GLM-4.6
Coding68.0%
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o4-mini
Coding68.1%(+0.1%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
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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o4-mini
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GLM-4.6
Avg Score:72.0%
Providers:2
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o4-mini
Avg Score:73.4%(+1.4%)
Providers:1