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Models โ€บ z-ai โ€บ Z.ai: GLM 4.6V

Z.ai: GLM 4.6V โ€” pricing & benchmarks

By z-ai ยท Updated 2026-10-06 ยท Open weights ยท mitReads imagesreads images / documentscheap high-volumestep-by-step reasoningopen weights / self-hostable

Z.ai: GLM 4.6V costs $0.3 per 1M input tokens and $0.9 per 1M output tokens, with a 131K context window. It is best suited for reads images / documents, cheap high-volume, step-by-step reasoning, open weights / self-hostable, and is available through one OpenAI-compatible Appmo API key.
$0.3Input / 1M
$0.9Output / 1M
131KContext
3.9KHF downloads (30d)
397HF likes

What Z.ai: GLM 4.6V is used for

Z.ai: GLM 4.6V is best suited for reads images / documents, cheap high-volume, step-by-step reasoning, open weights / self-hostable. Access it through one Appmo API key alongside 458 other models โ€” Appmo's optimizer can route to it automatically when it is the best value for a request. Weights: huggingface.co/zai-org/GLM-4.6V.

Use it via the Appmo API (OpenAI-compatible)

curl https://appmo.com/v1/chat/completions \
  -H "Authorization: Bearer $APPMO_KEY" \
  -d '{"model":"z-ai/glm-4.6v","messages":[{"role":"user","content":"Hello"}]}'

FAQ

How much does Z.ai: GLM 4.6V cost?
Z.ai: GLM 4.6V costs $0.3 per 1M input tokens and $0.9 per 1M output tokens ($0.45 blended), as of 2026-10-06. Prices are expected to fall as competition increases.

What is Z.ai: GLM 4.6V best for?
Z.ai: GLM 4.6V is best suited for reads images / documents, cheap high-volume, step-by-step reasoning, open weights / self-hostable.

How do I use Z.ai: GLM 4.6V?
Send requests to Appmo's OpenAI-compatible endpoint with model id "z-ai/glm-4.6v" and one API key โ€” no separate provider account needed.

Is Z.ai: GLM 4.6V open source?
Yes โ€” its weights are public on Hugging Face (zai-org/GLM-4.6V) under the mit license; check the license terms before commercial use.

Can Z.ai: GLM 4.6V create images?
No. Z.ai: GLM 4.6V can read and understand images, but it only writes text.