Product updates, model releases, and platform improvements.
March 2026
Add GPT-5.4 Mini & GPT-5.4 Nano
GPT-5.4 Mini
GPT-5.4 mini brings the core capabilities of GPT-5.4 into a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs and delivers strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.
Designed for production environments, GPT-5.4 mini balances capability and efficiency, making it well suited for chat applications, coding assistants, and scalable agent workflows. It provides reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.
GPT-5.4 Nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume workloads. It supports text and image inputs and is designed for low-latency tasks such as classification, data extraction, ranking, and sub-agent execution. Prioritizing responsiveness and efficiency over deep reasoning, GPT-5.4 nano is ideal for real-time systems, background processing, and distributed agent pipelines where minimizing cost and latency is essential.
Our new "Stacked A" mark features a dual-layer geometric design with metallic teal gradients, replacing the previous rainbow-arc logo. The layered depth effect represents the multiple AI providers unified behind a single API.
What Changed
Logo: Geometric Stacked A with Apertis Teal (#2dd4bf → #0d9488)
Favicon: Full icon set across 25 sizes (16px–512px) for crisp rendering on every device - OG Images: All social preview images updated with new branding
✨ Billing Credits API — Check Your Balance Programmatically
We've launched a new API endpoint that lets you query your remaining credits and subscription quota using your API key — no dashboard login required.
Endpoint: GET /v1/dashboard/billing/credits
The Problem
Until now, checking your Apertis balance meant opening the dashboard in a browser. This creates friction in several real-world scenarios:
Coding agents running overnight — Claude Code, Cursor, or Kilo Code sessions can burn through credits while you sleep. By the time you notice, the session
has already failed mid-task with an insufficient balance error.
Team automation pipelines — CI/CD workflows that call AI APIs have no way to pre-check if there's enough budget before kicking off an expensive batch job.
Multi-key management — If you distribute API keys across projects or team members, there's no programmatic way to monitor which keys are running low.
Subscription cycle awareness — Subscription users couldn't check how much cycle quota remains without visiting the dashboard. Easy to accidentally exhaust
your monthly allocation without realizing it.
We looked at what other providers offer: OpenAI has no balance endpoint (this is one of the most requested features on their community forum). Anthropic's Admin API can query cost reports but not remaining credits, and requires a separate admin key. Neither provides a simple "how much do I have left?" API call.
1. Pre-flight budget check before expensive operations
Before kicking off a large batch job or a long coding agent session, check if you have enough credits:
import requests
credits = requests.get(
"https://api.apertis.ai/v1/dashboard/billing/credits",
headers={"Authorization": "Bearer sk-your-key"}
).json()
if credits["is_subscriber"]:
remaining = credits["subscription"]["cycle_quota_remaining"]
if remaining < 100:
print(f"Warning: only {remaining} quota remaining in this cycle")
else:
remaining = credits["payg"]["remaining_usd"]
if remaining < 1.0:
print(f"Warning: only ${remaining:.2f} credits left")
2. Automated low-balance alerts
Set up a cron job or monitoring script that pings you when credits drop below a threshold:
#!/bin/bash
BALANCE=$(curl -s https://api.apertis.ai/v1/dashboard/billing/credits \
-H "Authorization: Bearer $APERTIS_KEY" | jq '.payg.remaining_usd')
if (( $(echo "$BALANCE < 5.0" | bc -l) )); then
echo "Low balance alert: $BALANCE USD remaining" | \
mail -s "Apertis Low Balance" you@example.com
fi
What Makes This Different
This is an Apertis exclusive. We surveyed every major AI API provider:
OpenAI: No balance endpoint. The most upvoted feature request on their developer forum for over two years. Their Usage API shows historical spending but not remaining credits.
Anthropic: Admin API provides cost reports, but requires a separate admin key and doesn't return remaining balance.
Together AI, OpenRouter: No programmatic balance check.
We believe knowing your balance should be as simple as making one API call. No special keys, no dashboard login, no scraping.
GLM-5 Turbo is a high-performance model from Z.ai optimized for fast inference and agent-driven workflows. Designed for real-world environments such as OpenClaw scenarios, it delivers strong performance across long execution chains and complex task pipelines. The model features improved instruction decomposition, tool integration, scheduled and persistent execution, and enhanced stability for extended multi-step tasks, making it well suited for autonomous agents and production automation workflows.
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid Mixture-of-Experts model designed for complex multi-agent and long-horizon reasoning workflows. It activates only 12B parameters per token, enabling high compute efficiency while maintaining strong accuracy on advanced tasks. Built on a hybrid Mamba–Transformer MoE architecture with multi-token prediction (MTP), the model delivers significantly higher token generation throughput than leading open models.
Healer Alpha
Healer Alpha is a frontier omni-modal model that integrates vision, audio understanding, reasoning, and action capabilities within a single system. It can natively perceive visual and auditory inputs, reason across multiple modalities, and execute complex multi-step tasks with precision, enabling advanced real-world agentic applications. Note: Prompts and completions processed by this model are logged by the provider and may be used for model improvement.
Hunter Alpha
Hunter Alpha is a frontier intelligence model with over 1 trillion parameters and a 1M-token context window, designed specifically for agentic applications. It excels at long-horizon planning, complex reasoning, and sustained multi-step task execution, delivering strong reliability and precise instruction following for advanced agent frameworks such as OpenClaw. Note: Prompts and completions processed by this model are logged by the provider and may be used for model improvement.