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Large Language Modelglm-5.3-flash

GLM-5.3 Flash

High Throughput

High-speed lightweight GLM 5.3 model designed for real-time dialogue, extraction, and high-frequency agent tool execution.

Access reviewDense TransformerProprietaryUse API

Params

Flash 128K

Context

128K

Max Output

16K

API Surface/v1/chat/completions

Capabilities & Performance

  • Ultra-responsive tool invocation and fast streaming
  • Starting at $0.088/M input, $0.264/M output

Transparent Pricing

Routing LaneSLA & ProfilePublic RateCached
💎Pro Quality Lane
quality_first
99.95% Official FP16
Deep reasoning & code
Contact usN/A
🚀Turbo Lane
speed_optimized
<140ms TTFT · 160 tok/s
Voice & agent loops
Contact usN/A
💰Economy Batch Lane
cost_optimized
Up to 50% Volume Discount
24h Async Batch Queue
Contact usN/A
🛡️Smart Failover Lane
hybrid_fallback (Default)
99.99% Resilient Uptime
Zero-downtime auto retry
Contact usN/A

Prices per 1M tokens. Cached prompt rate applies on prefix hits.

OpenAI-compatible code on documented routes

Drop-in API Examples

Use APIGet API Key
Python (OpenAI SDK)
from openai import OpenAI

client = OpenAI(
    base_url="https://api.batchin.tech/v1",
    api_key="BATCHIN_API_KEY",
    default_headers={"X-BatchIn-Lane": "turbo"}  # "turbo" | "pro" | "economy" | "failover"
)

resp = client.chat.completions.create(
    model="glm-5.3-flash",
    messages=[{"role": "user", "content": "Benchmark system architecture performance and cost profile."}],
    extra_body={"route_policy": "lowest_latency"}  # Turbo low-latency lane
)

print(resp.choices[0].message.content)
JavaScript / Node.js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.batchin.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
  defaultHeaders: { "X-BatchIn-Lane": "turbo" }, // "turbo" | "pro" | "economy" | "failover"
});

const resp = await client.chat.completions.create({
  model: "glm-5.3-flash",
  messages: [{ role: "user", content: "Benchmark system architecture performance and cost profile." }],
});

console.log(resp.choices[0]?.message?.content);
cURL / Shell
curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer $BATCHIN_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-BatchIn-Lane: turbo" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [{"role":"user","content":"Benchmark system architecture performance and cost profile."}]
  }' -i
# Inspect response headers:
# X-BatchIn-Lane: speed_optimized
# X-BatchIn-Latency-Ms: 138
# X-BatchIn-Route-Decision: primary_lane

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GLM-5.3 Flash | BatchIn