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GLM 5.3 Fast

zhipuai·zhipuai/glm-5.3-fast·GA·Open weights·glm series·NEW
Flagship GLM model for long-horizon coding, agents, and complex project delivery

GLM 5.3 Fast by zhipuai is currently listed from a single provider. Its reference price is $2.10 per 1M input tokens and $6.60 per 1M output tokens.

The context window is 1,048,576 tokens, with an output limit of 262,144 tokens. It supports reasoning, tool use, and structured output. 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·Vercel AI Gateway
$2.10 / $6.60
Blended $3.23 · Cache read $0.21
Lowest paid·Vercel AI GatewayCloud
$2.10 / $6.60
Blended $3.23
Context
1,048,576
Output limit
262,144
Knowledge cutoff
—
Released / updated
2026-08-14 / 2026-08-14
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
Modalities
Text

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
Vercel AI GatewayCloud$2.10$6.60$0.21—1,048,576262,144

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

1Vercel AI Gateway$523.20
The cheapest paid channel is the only channel.

Reasoning control

effort = loweffort = higheffort = max

Related models

GLM 5.3 Flash Uncensoredsame series$0.35 / $1.40GLM-5.3-Flashsame series$0.075 / $0.25GLM-5.3-Flash (EU)same series$0.20 / $0.50DeepSeek V4 Flashcheaper alternative$0.14 / $0.28DeepSeek V4 Procheaper alternative$0.435 / $0.87DeepSeek V4 Flash 0731cheaper alternative$0.445 / $1.34

Price historyone sample accumulated per data sync

Input list $2.10Output list $6.60Min blended $3.23

Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-04). Each future sync adds a point, and once accumulated a line is drawn here.

Data partly from models.dev (MIT) · Vercel AI Gateway official docs ↗