Z.AI · all models ›

ZGLM 4.7 FlashOPEN

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency.

203KContext window · tokens
$0.06Input price · per M tokens
$0.4Output price · per M tokens
Z.AIProvider

Prices update automatically — checked daily against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for GLM 4.7 Flash, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

24×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, GLM 4.7 Flash delivers 24 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index23.3
GPQA58.1%
Humanity's Last Exam7.6%
Long Context Reasoning40.7%
SciCode33.7%
IFBench60.8%
τ²-Bench98.8%
Terminal-Bench Hard22%
💰 Blended price$0.153 / 1M tokens
📈 Value152.3 intelligence points per $
vs. models measured heretop 60%
Scores higher than 40% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.76 per 1M tokens (median of 13) — this one costs $0.15.
Cheaper and better on this index: GLM 5.3 Flash · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 and 6 more
Benchmark data by Artificial Analysis

About this model

GLM 4.7 Flash is an open-weight AI model by Z.AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is GLM 4.7 Flash?

GLM 4.7 Flash is an AI language model from Z.AI. It is open-weight: you can download it and run it on your own hardware, for free. It scores 23.3 on the Artificial Analysis intelligence index.

Is GLM 4.7 Flash free?

The weights are free and open — you can self-host GLM 4.7 Flash and pay nothing per token. If you prefer a hosted API, list prices are $0.06 per million input tokens and $0.4 per million output tokens.

What is GLM 4.7 Flash good at?

Independent benchmarks from Artificial Analysis give it GPQA 58.1%, Humanity's Last Exam 7.6%, Long Context Reasoning 40.7%, SciCode 33.7%, IFBench 60.8%, τ²-Bench 98.8%, Terminal-Bench Hard 22%.

Can I self-host GLM 4.7 Flash?

Yes. GLM 4.7 Flash has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

Related models

GLM 5.2Z.AIGLM 5.3 FlashZ.AIGLM 5.3Z.AIGLM 5.1Z.AIGLM 4.7Z.AIGLM 5Z.AI