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ZGLM 5V TurboOPEN

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks.

203KContext window · tokens
$1.2Input price · per M tokens
$4Output price · per M tokens
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Prices update automatically — checked daily against provider list prices.

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Benchmarks & performance

Independent benchmark scores for GLM 5V Turbo, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Intelligence index35.3
GPQA80.9%
Humanity's Last Exam17.1%
Long Context Reasoning65.7%
SciCode43.5%
IFBench61.1%
τ²-Bench98.5%
Terminal-Bench Hard32.6%
vs. models measured heretop 38%
Scores higher than 62% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.72 per 1M tokens (median of 22) — this one costs $1.9.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 43 more
Benchmark data by Artificial Analysis

About this model

GLM 5V Turbo 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 5V Turbo?

GLM 5V Turbo 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 35.3 on the Artificial Analysis intelligence index.

Is GLM 5V Turbo free?

The weights are free and open — you can self-host GLM 5V Turbo and pay nothing per token. If you prefer a hosted API, list prices are $1.2 per million input tokens and $4 per million output tokens.

What is GLM 5V Turbo good at?

Independent benchmarks from Artificial Analysis give it GPQA 80.9%, Humanity's Last Exam 17.1%, Long Context Reasoning 65.7%, SciCode 43.5%, IFBench 61.1%, τ²-Bench 98.5%, Terminal-Bench Hard 32.6%.

Can I self-host GLM 5V Turbo?

Yes. GLM 5V Turbo 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.

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