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Changelog

Product updates, model releases, and platform improvements.

March 2026

Add Qwen3.5-9B & Seed-2.0-Lite

Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, built to deliver strong reasoning, coding, and visual understanding within an efficient 9B-parameter architecture. It adopts a unified vision-language design with early fusion of multimodal tokens, enabling the model to process and reason across text and images within the same context.

With balanced multimodal capability and efficient deployment requirements, Qwen3.5-9B is well suited for applications that combine visual analysis, coding assistance, and general reasoning.

Seed-2.0-Lite

Seed-2.0-Lite is a balanced model designed for high-frequency enterprise workloads, optimizing for both capability and cost efficiency. It surpasses the previous-generation Seed-1.8 in overall performance while maintaining stable, production-ready quality. The model supports long-context processing, multi-source information fusion, multi-step instruction execution, and high-fidelity structured outputs.

It is well suited for enterprise scenarios such as unstructured data processing, content generation, search and recommendation, and data analysis, delivering reliable results while significantly reducing operational cost.

Enjoy it!

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Add GPT-5.4 and GPT-5.4 Pro

GPT-5.4

GPT-5.4 is OpenAI's latest frontier model, unifying the GPT and Codex lines into a single system designed for both general intelligence and advanced software engineering workflows. It supports text and image inputs and features a 1M+ token context window (≈922K input, 128K output), enabling high-context reasoning, coding, and multimodal analysis within a single workflow.

The model delivers improved performance in coding, document understanding, tool use, and instruction following, and is designed as a strong default for complex tasks. It can generate production-quality code, synthesize information across large datasets, and execute multi-step workflows with fewer iterations and greater token efficiency.

GPT-5.4 Pro

GPT-5.4 Pro is OpenAI's most advanced model, built on the unified GPT-5.4 architecture with enhanced reasoning capabilities for complex and high-stakes tasks. It supports text and image inputs and features a 1M+ token context window (≈922K input, 128K output) for handling large-scale workflows and long-context analysis.

Optimized for step-by-step reasoning, instruction following, and accuracy, GPT-5.4 Pro excels in agentic coding, long-context problem solving, and complex multi-step workflows, making it well suited for advanced engineering, research, and high-reliability applications.

The discount prices will be updated in few days, stay tuned!

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✨ New Models Added to All Subscription Plans — Free & Unlimited

Hi there,

Great news! We've just added three new models to every Apertis subscription plan at no extra cost — with unlimited usage.

ModelHighlights
GLM 4.7 FlashZhipu's latest high-speed reasoning model — low latency, high throughput
GPT-5.1 Codex (Mini)OpenAI's lightweight code generation model — ideal for everyday dev tasks
MiniMax M2.1MiniMax's next-gen general-purpose model — strong multilingual capabilities

How to Get Started

These models are available immediately for all subscribers — no configuration changes needed. Simply use the model ID in your API calls:

model: "glm-4.7-flash" model: "gpt-5.1-codex-mini" model: "minimax-m2.1"

Why Free & Unlimited?

We continuously partner with leading AI providers to bring high-value models into your subscription. More models, same price — that's our commitment to maximizing the value of your plan.

Not a subscriber yet? **Explore our plans →**

Questions? Feel free to reach out anytime.

Happy Building.

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✨ Apertis Python SDK v0.2.1 — Context Compression Now Available

Hi there,

We're excited to announce Apertis Python SDK v0.2.1, now with Context Compression support.

What's New

Context Compression automatically compresses prompt tokens in long conversations and large context scenarios — reducing API costs while maintaining response quality.

Quick Start

  pip install apertis==0.2.1

Resources

  • PyPI: https://pypi.org/project/apertis/0.2.1/
  • GitHub Release: https://github.com/apertis-ai/python-sdk/releases/tag/v0.2.1

*See the Release Notes for detailed usage and configuration options.*

Questions? Feel free to reach out anytime.

Happy Building.

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