Vision-driven coding
Feed screenshots, UI mockups, or rendered output and generate, debug, and iterate on code across web and automation workflows.
Built for efficient coding and long-horizon agent tasks
GLM-5.3-Flash is built for long-horizon software engineering, complex reasoning, and production use. It provides a 1M-token context window and accepts text, image, and video input.
Office document delivery
Generate structured deliverables for document-heavy workflows, subject to the enabled integration and output format.
Computer use and agentic workflows
Combine planning, tools, and visual feedback for sustained agent tasks and interface automation.
Where GLM-5.3-Flash fits
GLM-5.3-Flash delivers reasoning for workloads that require sustained execution and production-oriented evaluation.
- Long-horizon software engineering and coding tasks.
- Complex reasoning that benefits from structured evaluation.
- Agentic workflows that combine planning, tools, and application checks.
- Production workloads requiring representative quality, latency, error, and usage testing.
How to get an GLM-5.3-Flash API key
Register for TokenRa, open the dashboard, create an API key, confirm that GLM-5.3-Flash is enabled for your account, and then send an OpenAI-compatible request from your server. Keep the key private and verify the live model identifier before production use.
Create a TokenRa account
Register, then open the TokenRa dashboard.
Create your API key
Open the API key or token section, create a key, and store it server-side.
Send a test request
Confirm the enabled model ID, test a representative workload, and add production controls.
curl https://tokenra.io/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"glm-5-3-flash","messages":[{"role":"user","content":"Explain the GLM-5.3-Flash architecture"}]}'GLM-5.3-Flash model specifications
GLM-5.3-Flash is the first native multimodal model in the GLM-5 series from Z.ai (Zhipu AI). Confirm the currently enabled context, output limits, and modalities in your TokenRa console before production use.
320B total / 18B active
Hybrid sparse and linear attention for efficient long-context inference.
1,310,720 tokens
Approximately 1M-token context with up to 131,072 completion tokens.
Text · Image · Video to text
Native multimodal input with text output on supported integrations.
Function calling + JSON
Supports tools, tool_choice, and structured output through response_format.
Z.ai (Zhipu AI)
GLM-5.3-Flash was previously previewed under the code name GLM-5.3-Flash.
glm-5.3-flash
Use this identifier in API requests and verify it in the live console.
Why GLM-5.3-Flash for coding and agents
GLM-5.3-Flash combines native multimodal input, long context, and efficient inference for practical coding and agent workloads.
- Use screenshots and visual context alongside code and text instructions.
- Handle long documents and repositories with a 1M-token context window.
- Combine planning, tools, and visual feedback in agentic workflows.
- Confirm output limits, tool support, and production behavior against the live integration.
GLM-5.3-Flash pricing and availability
GLM-5.3-Flash is currently listed as free on TokenRa during its preview. No credit card is required to get started. Access is subject to account eligibility, provider availability, and applicable rate limits; verify the live TokenRa console before production use.
Check live console
Standard input pricing for GLM-5.3-Flash.
Per-token billing
Generated output pricing for GLM-5.3-Flash.
Promotion-aware
Verify current availability, rate limits, and discounts before production use.
Anonymous third-party provider
GLM-5.3-Flash is a stealth model developed and operated by a third-party provider that has chosen to remain anonymous during this preview. TokenRa provides API access to it as a routing gateway, and is not the model developer or owner.
Data handling stated for this preview
Prompts and completions are retained by the provider and are not used for training. Review the applicable provider and TokenRa terms before sending sensitive or regulated information.
Production checklist
- Keep API keys on the server and separate credentials by environment.
- Confirm the 1M-token context and supported input modalities against the live integration before relying on them.
- Run representative coding, agentic, reasoning, and visual-context workloads.
- Set explicit timeouts, bounded retries, tracing, and application-side budgets.
- Review data handling, provider terms, privacy requirements, and output rights for your use case.
GLM-5.3-Flash API FAQ
What is the GLM-5.3-Flash API?
The GLM-5.3-Flash API provides OpenAI-compatible access to GLM-5.3-Flash, a reasoning model for coding, sustained agentic work, complex reasoning, and production workloads.
How do I get an GLM-5.3-Flash API key?
Register for TokenRa, open the dashboard, create an API key, confirm that GLM-5.3-Flash is enabled, and use the key in a server-side integration.
How much does GLM-5.3-Flash cost?
Pricing depends on the active TokenRa channel and promotions. Check the live console for current rates and limits.
Who develops GLM-5.3-Flash?
It is developed and operated by an anonymous third-party provider during this preview. TokenRa provides API access to it as a routing gateway, and is not the model developer or owner.
What input does GLM-5.3-Flash support?
The stated capabilities include text, image, and video input, subject to the current enabled integration.
Are prompts and completions used for training?
They are retained by the provider and are not used for training.
GLM-5.3-Flash is a third-party stealth model. The provider and related names belong to their respective rights holders. TokenRa provides API access as a routing gateway and is not the model developer or owner.