Model

glm-5.3-flash

Q: Does a price limit or price lock apply?

glm-5.3-flash ignores both, so a tool that sends one X-Price-Limit for every model can keep it.

glm-5.3-flash is sold at a fixed price per token. A request names glm-5.3-flash and is charged the prices below for the tokens it uses.

Datasheet

Field	Value
Model id	glm-5.3-flash
Also answers to	No other id
Context length	262,144 tokens
Max output	128,000 tokens
Pricing	Fixed price

max_tokens above the max output is clamped down to it.

Backend unavailable

No machine is serving glm-5.3-flash right now, and orders queue until capacity returns.

Prices

What a request pays for each kind of token. GET /v1/models carries the current prices.

Per 1M tokens: $0.0200 cache-hit · $0.1000 cache-miss · $0.3000 output

Uptime, last 24 hours

Each check is a chat completion through the public API, run the way the models board describes.

Uptime

n/a

Checks

Failures

Latency

n/a

Queue wait

n/a

Not serving, so no checks are running.

The first call

Set OPENFILL_API_KEY to a key from API keys before running an example. A key starts with of_live_ and is shown once.

Read docs

import osfrom openai import OpenAI client = OpenAI(    base_url=(        "https://api.openfill.ai/v1"    ),    api_key=os.environ[        "OPENFILL_API_KEY"    ],) r = client.chat.completions.create(    model="glm-5.3-flash",    messages=[        {"role": "user", "content": "hi"}    ],)print(r.choices[0].message.content)print(r.usage)

import OpenAI from "openai"; const client = new OpenAI({  baseURL: "https://api.openfill.ai/v1",  apiKey: process.env.OPENFILL_API_KEY,}); const r = await client.chat.completions.create({  model: "glm-5.3-flash",  messages: [{ role: "user", content: "hi" }],});console.log(r.choices[0].message.content);console.log(r.usage);

curl "https://api.openfill.ai/v1/chat/completions" \  -H "Authorization: Bearer $OPENFILL_API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "glm-5.3-flash",    "messages": [      {"role": "user", "content": "hi"}    ]  }'

# The base URL without /v1; Claude Code appends /v1/messagesexport ANTHROPIC_BASE_URL="https://api.openfill.ai"export ANTHROPIC_AUTH_TOKEN="$OPENFILL_API_KEY"export ANTHROPIC_API_KEY="" # Every model slot by hand: discovery keeps only ids that name Claudeexport ANTHROPIC_MODEL="glm-5.3-flash"export ANTHROPIC_DEFAULT_SONNET_MODEL="glm-5.3-flash"export ANTHROPIC_DEFAULT_HAIKU_MODEL="glm-5.3-flash"export CLAUDE_CODE_SUBAGENT_MODEL="glm-5.3-flash" # The wait, merged into every request bodyexport CLAUDE_CODE_EXTRA_BODY='{"max_wait": 600}'export CLAUDE_CODE_DISABLE_EXPERIMENTAL_BETAS=1claude

# ~/.codex/config.tomlmodel_provider = "openfill"model = "glm-5.3-flash"model_context_window = 262144web_search = "disabled"show_raw_agent_reasoning = true [model_providers.openfill]name = "OpenFill"base_url = "https://api.openfill.ai/v1"env_key = "OPENFILL_API_KEY"wire_api = "responses"

// opencode.json{  "$schema": "https://opencode.ai/config.json",  "provider": {    "openfill": {      "npm": "@ai-sdk/openai-compatible",      "name": "OpenFill",      "options": {        "baseURL": "https://api.openfill.ai/v1",        "apiKey": "{env:OPENFILL_API_KEY}"      },      "models": {        "glm-5.3-flash": { "name": "glm-5.3-flash" }      }    }  }}

# Cline, Roo Code and Kilo Code# Settings > API Provider: OpenAI Compatible Base URL   https://api.openfill.ai/v1the base URLAPI Key    (your OPENFILL_API_KEY)Model ID   glm-5.3-flash

# A key from API keys, shown once when madeexport OPENFILL_API_KEY="of_live_..." # Any tool that reads the OpenAI variablesexport OPENAI_BASE_URL="https://api.openfill.ai/v1"the base URLexport OPENAI_API_KEY="$OPENFILL_API_KEY" curl -s "$OPENAI_BASE_URL/models" \  -H "Authorization: Bearer $OPENAI_API_KEY"

import { createOpenAICompatible } from "@ai-sdk/openai-compatible";import { generateText } from "ai"; const openfill = createOpenAICompatible({  name: "openfill",  baseURL: "https://api.openfill.ai/v1",  apiKey: process.env.OPENFILL_API_KEY,}); const { text } = await generateText({  model: openfill.chatModel("glm-5.3-flash"),  prompt: "hi",});console.log(text);

import osfrom langchain_openai import ChatOpenAI llm = ChatOpenAI(    model="glm-5.3-flash",    base_url="https://api.openfill.ai/v1",    api_key=os.environ["OPENFILL_API_KEY"],)print(llm.invoke("hi").content)

import osfrom litellm import completion r = completion(    model="openai/glm-5.3-flash",    api_base="https://api.openfill.ai/v1",    api_key=os.environ["OPENFILL_API_KEY"],    messages=[        {"role": "user", "content": "hi"}    ],)print(r.choices[0].message.content)

import osfrom openai import AsyncOpenAIfrom agents import (    Agent, Runner,    set_default_openai_api,    set_default_openai_client,    set_tracing_disabled,) set_default_openai_client(AsyncOpenAI(    base_url="https://api.openfill.ai/v1",    api_key=os.environ["OPENFILL_API_KEY"],))set_default_openai_api("chat_completions")set_tracing_disabled(True) agent = Agent(name="assistant", model="glm-5.3-flash")print(Runner.run_sync(agent, "hi").final_output)

Questions

What does glm-5.3-flash cost on OpenFill?

Each request is charged for the tokens it uses: $0.0200 per 1M cache-hit tokens, $0.1000 per 1M cache-miss tokens and $0.3000 per 1M output tokens.

Every model and its prices

What happens when glm-5.3-flash is at capacity?

The request waits for a free slot, taking turns with other accounts, for up to max_wait (10 seconds to 30 days). Past that it ends with 429 and no charge.

Waiting and timeouts

Does a price limit or price lock apply?

glm-5.3-flash ignores both, so a tool that sends one X-Price-Limit for every model can keep it.

How pricing works

What are the rate limits?

1,200 inference requests a minute per key, 2,000 queued orders per account, and a request body of up to 8 MB. Every rate limit is on GET /v1/rate-limits.

Rate limits

What is stored?

Storage is off by default: a prompt and its response exist only while the request runs. With it on, results are kept up to 30 days; store: false keeps less.

Data storage