GLM-4.7-Flash
GLM-4.7-Flash is an AI model published by 智谱AI, released on 2026-01-19, for Reasoning model, with 310.0B parameters, and 200K tokens context length, requiring about 62.5GB storage, under the MIT License license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Modality | Input | Output |
|---|---|---|
| Text | 0 人民币 | 0 人民币 |
GLM-4.7-Flash currently shows benchmark results led by τ²-Bench - Telecom (12 / 35, score 96), AIME2025 (37 / 106, score 91.60), τ²-Bench (16 / 40, score 79.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
GLM-4.7-Flash is an AI model published by 智谱AI, released on 2026-01-19, for Reasoning model, with 310.0B parameters, and 200K tokens context length, requiring about 62.5GB storage, under the MIT License license.
Follow DataLearner on WeChat for AI model updates and research notes.
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
