by Zhipu AI
Z.ai: GLM 5.3 FlashX.
multimodal
closed
1M ctx
Cheapest input
$0.37/M
on OpenRouter
Cheapest output
$1.25/M
on OpenRouter
Hosted equiv.
~$0.45/hr
@ 100 tok/s on OpenRouter
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...
Hosted API only
No self-host path — closed weights.
Z.ai: GLM 5.3 FlashX's weights aren't published. Use it via the access providers below.
Where to use it
Cheapest hosted endpoints.
| Provider | Access | $/M in | $/M out | |
|---|---|---|---|---|
| OpenRouter | api aggregator | $0.37 | $1.25 | Launch ↗ |
FAQ
Frequently asked.
How do I run Z.ai: GLM 5.3 FlashX?
Z.ai: GLM 5.3 FlashX is a closed-source API model. The cheapest way to access it is through the API providers listed on this page (direct API, aggregators, and hosted chat UIs).
Where can I access Z.ai: GLM 5.3 FlashX?
Z.ai: GLM 5.3 FlashX is available via OpenRouter, z.ai. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Z.ai: GLM 5.3 FlashX?
API pricing starts at $0.37/M input tokens and $1.25/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Z.ai: GLM 5.3 FlashX open-source or proprietary?
Z.ai: GLM 5.3 FlashX is a proprietary model from Zhipu AI. Access is API-only — there are no public weights to download.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for Z.ai: GLM 5.3 FlashX across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$6.2
OpenRouter
$/M input
$0.37
per million tokens
$/M output
$1.25
per million tokens
Providers
1
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Loading...
Bill breakdown.
| Provider | Monthly total | |
|---|---|---|
| $6.2 | Sign up ↗ |
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
1M tokens
≈ 786,432 English words
4K
32K
128K
1M
Capabilities
What it can do.
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Vision input
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Audio input
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Video input
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Function calling
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Tool use
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JSON mode
✓
Streaming
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Fine-tuning