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GLM-4.6 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 6.5% higher average benchmark score. GLM-4.6 offers 176.1K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $0.60 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 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
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
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
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($0.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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GLM-4.6
Average Score:30.6%(+6.5%)
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GPT-3.5 Turbo
Average Score:24.2%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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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GPT-3.5 Turbo
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GLM-4.6
Avg Score:30.6%(+6.5%)
Providers:2
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GPT-3.5 Turbo
Avg Score:24.2%
Providers:2