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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 Gateway

Pricing

GLM-5.3 Flash API pricing by provider

ProviderInputCachedOutputContext
Boundless$0.12$0.02$0.401M
Z.aiModel creator$0.15$0.03$0.501M
DeepInfra$0.08$0.02$0.251M
Baseten$0.15$0.03$0.501M
Fireworks$0.15$0.03$0.501M
Together$0.15$0.03$0.501M

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 engineer

Run it

Switch with a base URL and a key

  1. 01

    Get an API key

    Sign up in the console and create a key. No sales call.

    Get a key
  2. 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"
    }]
  }'
From the quickstart docs

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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