Changelog

GPT Image 2

GPT Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows.

It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.

Enjoy it.

Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, UI/UX generation, and multi-agent orchestration. It handles complex end-to-end development tasks across languages such as Python, Rust, and Go, and can transform prompts and visual inputs into production-ready interfaces.

Powered by a scalable agent swarm architecture, K2.6 can coordinate hundreds of parallel sub-agents for autonomous task decomposition, enabling the generation of documents, websites, and spreadsheets in a single run without human intervention.

Enjoy it.

A Model Context Protocol server that lets any MCP-compatible AI assistant call Apertis directly. No setup, no wrapper code — just install once.

Install (Claude Code):

claude mcp add apertis -- npx -y @apertis/mcp-server

Nine tools shipped:

→ Guide: docs.apertis.ai/api/sdks/mcp-server → npm: `@apertis/mcp-server`

Agent Skills — one-command install for 45+ AI tools

Three curated skills that teach your AI assistant how to use Apertis correctly. Install once, works everywhere.

npx skills add theQuert/apertis-skills

Compatible with Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, and 45+ other AI coding tools.

→ Source: github.com/theQuert/apertis-skills

GET /v1/recommend — dynamic model selection endpoint

Ask Apertis what to use for a task and get back the curated pick with live pricing. Recommendations update as models are added, retired, or re-priced — your code stays the same.

curl "https://api.apertis.ai/v1/recommend?task=coding&budget=medium" \
  -H "Authorization: Bearer $APERTIS_API_KEY"

Task types: coding, long-context, fast-chat, reasoning, vision Budget tiers: low, medium (default), high

Response shape:

{
  "model": "claude-sonnet-4-6",
  "pricing": { "input_per_1m": 2.40, "output_per_1m": 12.00 },
  "why": "Best coding ability per dollar. 200K context.",
  "alternatives": [
    { "model": "deepseek-v3", "note": "3x cheaper, good for simpler coding" },
    { "model": "claude-opus-4-6", "note": "most capable, higher cost" }
  ]
}

Use the returned model ID directly in your next /v1/chat/completions call.

→ Reference: docs.apertis.ai/api/utilities/recommend

Docs

• New: @apertis/mcp-server SDK guide with recommend_model walkthrough
• New: GET /v1/recommend endpoint reference with Python example
• Updated: Cursor integration guide with new screenshots and apertis/ prefix convention
• Updated: Ideas page now publicly browsable at docs.apertis.ai/help/ideas
• Updated: Timeout documentation — X-Timeout header, 408 status semantics

Why this release

We kept seeing two questions in support:

1. *“Which model should I use?”* 2. *“How do I wire Apertis into my agent/IDE?”*

recommend_model + the skills + the MCP server answer both — without asking you to paste the same instructions into every new session. Your agent now picks the right model and knows how to call us, natively.

Effective 2026-04-24 at 00:00 UTC, quota multipliers across Lite, Pro, and Plus plans will be adjusted in response to recent upstream AI provider pricing changes.

Why

• Anthropic Claude (upstream routing channel) base rates have trended upward across multiple providers
• Z.AI GLM-5.1 base rates have trended upward across multiple providers
• OpenAI GPT-5.4 serving costs have increased on several routes
• Additionally, claude-opus-4-6 on the Lite plan is being lowered because our review showed the previous multiplier was set higher than current real cost justifies

Changes

Lite Plan ($12/month, 600 quota per cycle)

• glm-5.1: 0.51 → 1.5
• code:claude-opus-4-6: 5.00 → 10.0
• claude-opus-4-6: 5.00 → 2.0 (decrease)
• gemini-3-flash-preview: 0.10 → 0.2
• gemini-3.1-pro-preview: 0.43 → 0.77

Pro Plan ($25/month, 900 quota per cycle)

• glm-5.1: 0.37 → 1.5
• claude-opus-4-6: 1.00 → 1.5
• gpt-5.4: 0.62 → 1.0
• code:claude-opus-4-6: 0.75 → 1.5

Plus Plan ($60/month, 1,500 quota per cycle)

• claude-opus-4-6: 0.75 → 1.5
• glm-5.1: 0.25 → 1.0
• gpt-5.4: 0.45 → 0.8
• claude-opus-4-7: 3.00 → 4.0

What stays the same

• Monthly subscription fee
• Billing cycle and quota allowance per plan
• Model access and plan tiers
• Pay-As-You-Go (PAYG) fallback behavior

Your options

If you do not agree with the changes, you may cancel your subscription at any time before 2026-04-24 00:00 UTC at https://apertis.ai/setting. Affected users will also be notified by email.

For questions, contact us at hi@apertis.ai.

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, designed for long-running, asynchronous agent workflows. Building on Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable execution across extended pipelines such as large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, Opus 4.7 enhances knowledge work capabilities, including document drafting, presentation creation, and data analysis. With strong coherence over long outputs and sessions, it is well suited for tasks requiring persistence, judgment, and sustained execution.

Enjoy it.