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GLM-4.6 vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 38.8% higher average benchmark score. o1 offers 103.4K more tokens in context window than GLM-4.6. GLM-4.6 is $72.40 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
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OpenAI
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
9 months newer
o1
OpenAI
2024-12-17
GLM-4.6
Zhipu AI
2025-09-30
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00($72.40 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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GLM-4.6
Average Score:17.9%
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o1
Average Score:56.7%(+38.8%)
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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o1
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GLM-4.6
Avg Score:17.9%
Providers:2
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o1
Avg Score:56.7%(+38.8%)
Providers:2