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Model Detail

zai-org logo

GLM-4.7-Flash

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Provider: zai-orgCategory: llmPipeline: text-generation
DB Score
0.2
Downloads
2.6M
Likes
2K
Day
+0.0%
Week
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Month
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Overview

GLM-4.7-Flash is a large language model with 15.6B parameters released by zai-org. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, distributed under the permissive mit license.

Pricing & Throughput

GLM-4.7-Flash is priced at $0/M input tokens and $0/M output tokens. Operationally the model offers a 200K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Technical

GLM-4.7-Flash ships with 15.6B parameters. Total weight footprint is approximately 31.2 GB, which is the relevant figure when planning local-inference VRAM. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Use Cases

GLM-4.7-Flash is best fit for general-purpose chat and instruction-following workloads, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (200K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
0
Research Paper
arXiv: 2406.12793→
Model Info
Licensemit
Modalitytext->text
Citations1,720 (188 influential)
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