glm/glm-5.3-flash
1.25M context · $0.0900 / M input tokens · $0.3000 / M output tokens
GLM 5.3 Flash is the first natively multimodal GLM 5-series model route on OurToken for developers evaluating cost-efficient hosted access, coding agents, vision-language tasks, long-context work, pricing, and production workloads.
Historical uptime data is collected over time. Current status reflects the latest health check.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
API Usage
API Access Guide
Code examples
Use the OurToken API endpoint for this model. The examples below use direct HTTP requests and the recommended endpoint for the model family.
curl https://api.ourtoken.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "glm-5.3-flash",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}'Chat Completions API Reference
Create a chat response with the OpenAI Chat Completions-compatible endpoint. Use https://api.ourtoken.ai/v1 as the SDK Base URL and POST /chat/completions as the endpoint.
Authorization
| Content-Type | application/json |
| Authorization | Bearer YOUR_API_KEY |
Request Body
| Field | Type | Required | Description |
|---|---|---|---|
| model | string | Required | Model ID to call. |
| messages | array<object> | Required | Conversation messages sent to the model. |
| max_tokens | integer | Optional | Maximum number of output tokens. |
| temperature | number | Optional | Sampling temperature. |
| top_p | number | Optional | Nucleus sampling parameter. |
| stream | boolean | Optional | Whether to return a streaming response. |
| stream_options | object | Optional | Additional options for streaming responses. |
| tools | array<object> | Optional | Tools available to the model. |
| tool_choice | string | object | Optional | Controls how the model selects tools. |
| response_format | object | Optional | Controls structured output, such as JSON object responses. |
Response Body
| Field | Type | Required | Description |
|---|---|---|---|
| id | string | Required | Unique chat completion identifier. |
| object | "chat.completion" | Required | Object type returned by the Chat Completions API. |
| created | integer | Required | Unix timestamp when the response was created. |
| model | string | Required | Model that produced the response. |
| choices | array<object> | Required | Candidate responses returned by the model. |
| choices[].message.role | string | Required | Role of the returned chat message. |
| choices[].message.content | string | Optional | Text content in the returned chat message. |
| choices[].finish_reason | string | Optional | Reason generation stopped. |
| usage | object | Optional | Token usage information for the chat completion. |
| usage.prompt_tokens | integer | Optional | Input token count. |
| usage.completion_tokens | integer | Optional | Output token count. |
| usage.total_tokens | integer | Optional | Total token count. |
| usage.prompt_tokens_details | object | Optional | Breakdown of input token usage. |
| usage.prompt_tokens_details.cached_tokens | integer | Optional | Tokens served from cache. |
Model Introduction
GLM glm-5.3-flash
GLM 5.3 Flash is the first natively multimodal GLM 5-series model route on OurToken for developers evaluating cost-efficient hosted access, coding agents, vision-language tasks, long-context work, pricing, and production workloads.
GLM 5.3 Flash combines 320B total parameters with only 18B active parameters, delivering GLM-5.3-class capability on multimodal, coding, and long-context workloads at a fraction of the serving cost. Use glm 5.3 flash api through OurToken when you want one endpoint for model testing, pricing review, API keys, usage logs, and production integration.
Why It Looks Great
- 60% of the official GLM 5.3 Flash reference price for input, output, and cache read tokens.
- OpenAI-compatible API setup through the same OurToken endpoint used by other supported models.
- First natively multimodal model in the GLM-5 series, supporting text and vision inputs with 18B activated parameters.
- Hybrid sparse and linear attention architecture with a long context window for lower serving cost.
- Dashboard logs and usage visibility help teams compare request cost after launch.
Key Features
- Model ID: glm-5.3-flash
- Input price: $0.0900 per 1M tokens on OurToken
- Output price: $0.3000 per 1M tokens on OurToken
- Cache read price: $0.0180 per 1M tokens on OurToken
- Cache write price: $0 per 1M tokens on OurToken
- Provider: GLM
Specifications
glm 5.3 flash api Features for Developers
Use glm 5.3 flash api for unified GLM access, glm 5.3 flash pricing visibility, multimodal evaluation, cost-efficient coding, and production workflow testing.
Unified Access
Call glm 5.3 flash api through the OurToken unified endpoint instead of wiring a separate GLM provider integration. Developers can create one API key, use glm-5.3-flash as the model ID, and keep OpenAI-compatible request patterns across testing and production.
Pricing Visibility
Review glm 5.3 flash pricing before routing traffic. OurToken lists $0.0900 input, $0.3000 output, and $0.0180 cache read per 1M tokens, with cache write listed at $0 for teams estimating prompt and agent workload costs.
Multimodal Inputs
Evaluate the first natively multimodal GLM-5 model on image and document understanding, visual reasoning, and mixed text-vision prompts alongside standard chat and coding tasks.
Cost-Efficient Coding
Test GLM 5.3 Flash on repository tasks, coding-plan sessions, and OpenCode-style development prompts. With 18B activated parameters, it targets coding and agentic workloads close to flagship level at a lower serving cost.
Long-Context Work
Use the long context window with sparse and linear attention to process large codebases and long-horizon sessions with reduced long-context serving cost.
Provider Comparison
Compare hosted OurToken access with other GLM provider listings when evaluating provider choice. OurToken focuses on API keys, usage logs, pricing visibility, and a unified endpoint rather than separate provider-specific setup.
How to Use glm 5.3 flash api on OurToken
Create an API key, copy glm-5.3-flash, compare glm 5.3 flash pricing, call the unified endpoint, and test coding workflows.
Create API Key
Create an OurToken API key from the dashboard and store it in a secure server-side environment variable. This gives your backend access to glm 5.3 flash api without exposing credentials in browser code, notebooks, or public repositories.
01Copy Model ID
Use glm-5.3-flash as the model value in your request body. Keeping the exact GLM 5.3 Flash model ID in configuration helps developers avoid naming mistakes when comparing local tests, staging traffic, and production routes.
02Call Endpoint
Send chat completion requests to the OurToken unified API endpoint with your API key, model ID, and prompt payload. Existing OpenAI-compatible request patterns can usually be reused after changing the base URL, credential, and model value.
03Compare Pricing
Compare glm 5.3 flash pricing before scaling traffic: OurToken lists $0.0900 input, $0.3000 output, and $0.0180 cache read per 1M tokens. Cache write is listed at $0, so separate cached prompts from normal input and output.
04Test Coding
Run your own glm 5.3 flash coding plan with repository tasks, one-shot application builds, OpenCode-style agent sessions, and regression prompts. Track latency, quality, and cost against the 18B-active-parameter profile.
05Monitor Usage
After launch, review request counts, input tokens, output tokens, cache read tokens, and spend in history logs. This helps teams compare glm 5.3 flash model performance against actual traffic rather than relying only on benchmark posts or provider listings.
06glm 5.3 flash api FAQ
Answers about glm 5.3 flash api access, glm-5.3-flash model ID, pricing, model architecture, coding workflows, and provider comparisons.