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GLM 4.6V Original

zhipuai·zhipuai/glm-4.6v-original·GA·Open weights·glm series
GLM-4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual understanding among models of similar parameter scales. Integrates native Function Calling capabilities, bridging 'visual perception' and 'executable action' for multimodal agents. Direct via Z-AI (Zhipu).

GLM 4.6V Original by zhipuai is currently listed from a single provider. Its reference price is $0.60 per 1M input tokens and $0.90 per 1M output tokens.

The context window is 128,000 tokens, with an output limit of 24,000 tokens. Accepted input modalities are Text and Image. The weights are open, so it can also be self-hosted or served through a gateway of your choice.

Specs & pricing

Input / output per 1M tokens
Reference price·NanoGPT
$0.60 / $0.90
Blended $0.68 · Cache read $0.30
Lowest paid·NanoGPTGateway
$0.60 / $0.90
Blended $0.68
Context
128,000
Output limit
24,000
Knowledge cutoff
—
Released / updated
2025-12-08 / 2025-12-08
Capabilities
ReasoningTool useStructured output? Temperature✓ Attachments
Modalities
TextImage

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NanoGPTGateway$0.60$0.90$0.30—128,00024,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1NanoGPT$129.00
The cheapest paid channel is the only channel.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.90$02026-08-052026-08-132026-08-05 · Input list $0.602026-08-06 · Input list $0.602026-08-07 · Input list $0.602026-08-08 · Input list $0.602026-08-09 · Input list $0.602026-08-10 · Input list $0.602026-08-11 · Input list $0.602026-08-12 · Input list $0.602026-08-13 · Input list $0.602026-08-05 · Output list $0.902026-08-06 · Output list $0.902026-08-07 · Output list $0.902026-08-08 · Output list $0.902026-08-09 · Output list $0.902026-08-10 · Output list $0.902026-08-11 · Output list $0.902026-08-12 · Output list $0.902026-08-13 · Output list $0.902026-08-05 · Min blended $0.682026-08-06 · Min blended $0.682026-08-07 · Min blended $0.682026-08-08 · Min blended $0.682026-08-09 · Min blended $0.682026-08-10 · Min blended $0.682026-08-11 · Min blended $0.682026-08-12 · Min blended $0.682026-08-13 · Min blended $0.68

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Data partly from models.dev (MIT) · NanoGPT official docs ↗