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GLM 4.6VOPEN
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media.
Prices update automatically — checked daily against provider list prices.
- $0.45 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 43% of the 191 open-weight models tracked here
- 5 of 15 Z.AI models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for GLM 4.6V, measured by Artificial Analysis. Higher is better. Measurement mode: Non-reasoning.
For the same budget, GLM 4.6V delivers 3.8 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.22 per 1M tokens (median of 23) — this one costs $0.45.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch) · GPT-5.6 Luna (batch) and 46 more
About this model
GLM 4.6V 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 4.6V?
GLM 4.6V 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 10.9 on the Artificial Analysis intelligence index.
Is GLM 4.6V free?
The weights are free and open — you can self-host GLM 4.6V and pay nothing per token. If you prefer a hosted API, list prices are $0.3 per million input tokens and $0.9 per million output tokens.
What is GLM 4.6V good at?
Independent benchmarks from Artificial Analysis give it GPQA 56.6%, MMLU-Pro 75.2%, Humanity's Last Exam 3.7%, Long Context Reasoning 14.3%, LiveCodeBench 41.1%, SciCode 27.2%, AIME 2025 26.3%, IFBench 27.9%, τ²-Bench 30.7%, Terminal-Bench Hard 3%. It is particularly used for mathematical reasoning.
Can I self-host GLM 4.6V?
Yes. GLM 4.6V 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.