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GLM 5 vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano offers 876.2K more tokens in context window than GLM 5. GPT-4.1 nano is $2.86 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
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OpenAI
GPT-4.1 nano is OpenAI's smallest member of the GPT-4.1 family, released in April 2025 alongside GPT-4.1 and GPT-4.1 mini as the latency-optimized, cost-minimized option for high-throughput applications. Positioned below GPT-4.1 mini in both size and cost, it was designed for use cases where speed and affordability dominate over raw capability — including tool calling, intent classification, short-form instruction following, and retrieval-augmented lookup tasks. Unlike its larger siblings, it supports fine-tuning, making it a practical candidate for task-specific customization at scale without incurring the cost of fine-tuning larger models.
10 months newer
GPT-4.1 nano
OpenAI
2025-04-14
GLM 5
Zhipu AI
2026-02-11
Pricing Comparison
Cost per million tokens (USD)
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GLM 5
Input:$0.80
Output:$2.56
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GPT-4.1 nano
Input:$0.10
Output:$0.40($2.86 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-06
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 5
1 providers
Zhipu AI
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GPT-4.1 nano
1 providers
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GLM 5
Avg Score:0.0%
Providers:1
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GPT-4.1 nano
Avg Score:0.0%
Providers:1