Comprehensive side-by-side LLM comparison
GPT-4.1 nano offers 876.2K more tokens in context window than GLM-4.7. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
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.
8 months newer

GPT-4.1 nano
OpenAI
2025-04-14
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
GLM-4.7
GPT-4.1 nano
Context window and performance specifications
GPT-4.1 nano
2024-06
Available providers and their performance metrics
GLM-4.7
Zhipu AI
GPT-4.1 nano
GLM-4.7
GPT-4.1 nano
GLM-4.7
GPT-4.1 nano
OpenAI