GLM-5.3 Flash
Z.ai's open-weight model for lower-cost coding and visual tasks with a million-token context, served on Boundless.
#1 time to first token on Vercel AI GatewayPricing
GLM-5.3 Flash API pricing by provider
| Provider | Input | Cached | Output | Context |
|---|---|---|---|---|
| Boundless | $0.12 | $0.02 | $0.40 | 1M |
| Z.aiModel creator | $0.15 | $0.03 | $0.50 | 1M |
| DeepInfra | $0.08 | $0.02 | $0.25 | 1M |
| Baseten | $0.15 | $0.03 | $0.50 | 1M |
| Fireworks | $0.15 | $0.03 | $0.50 | 1M |
| Together | $0.15 | $0.03 | $0.50 | 1M |
Prices per 1M tokens. Source: OpenRouter
About the model
GLM-5.3 Flash at a glance
GLM-5.3 Flash is Z.ai's first natively multimodal model in the GLM-5 series, with 320B total and 18B active parameters. It reads text, images and video, and its hybrid attention keeps long prompts lower-cost across the 1M-token window.
From our model docs- Developer
- Z.ai
- Context window
- 1M tokens
- Input
- Text, image, video
- Capabilities
- Reasoning, tool use, vision
Tailored inference
Want GLM-5.3 Flash tuned to your workload?
Our engineers benchmark it against your current model, tune how it's served for your traffic, and run it to your cost, latency and quality targets.
Talk to an engineerRun it
Switch with a base URL and a key
- 01
- 02
Point your SDK at Boundless
Change the base URL and key. For Anthropic SDKs, drop the /v1 and set max_tokens.
curl https://api.inference.boundless.network/v1/chat/completions \
-H "Authorization: Bearer $BOUNDLESS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.3-flash",
"messages": [{
"content": "Say hello",
"role": "user"
}]
}'FAQ
Questions before you commit
How much does GLM-5.3 Flash cost on Boundless?
$0.12 per 1M input tokens, $0.02 per 1M cached input tokens and $0.40 per 1M output tokens, billed from prepaid credits. Every response includes exact token counts, so any charge can be checked against these prices.
What is GLM-5.3 Flash's context window on Boundless?
1M tokens, shared by the prompt and the reply. max_tokens can go up to that limit.
Does GLM-5.3 Flash support tool calling?
Yes. GLM-5.3 Flash supports tool use and reasoning.
Can I control how much GLM-5.3 Flash reasons?
Yes. On chat completions, set reasoning_effort to none, low, medium or high, or leave it unset for the model's default. Size max_tokens for both the thinking and the reply.
Can GLM-5.3 Flash read images?
Yes. GLM-5.3 Flash accepts text, image, video as input.
What are the rate limits?
Each team has caps on tokens per minute, requests per minute and concurrent requests, shown on the usage page. Cached input doesn't count against them, and support can raise them for your team.
Does Boundless store my prompts or outputs?
No. Boundless never stores prompts or outputs and never trains on them. It keeps only what billing needs: token counts, model, timestamp and cost.
Can Boundless help me decide if GLM-5.3 Flash fits my workload?
Yes. We test it against your current model on your own prompts, then tune and run it to your targets.
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