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GLM-4.6 vs GPT-4 Turbo
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 33.0% higher average benchmark score. GLM-4.6 offers 64.5K more tokens in context window than GPT-4 Turbo. GLM-4.6 is $37.40 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
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
1 year newer
GPT-4 Turbo
OpenAI
2024-04-09
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($37.40 cheaper)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:81.0%(+33.0%)
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GPT-4 Turbo
Average Score:48.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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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GPT-4 Turbo
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GLM-4.6
Avg Score:81.0%(+33.0%)
Providers:2
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GPT-4 Turbo
Avg Score:48.0%
Providers:2