Changelog

We now support an apertis/ namespace prefix for all model IDs, designed specifically for Cursor IDE users who experience model ID collisions with Cursor's built-in model routing.

How It Works

When your model ID overlaps with Cursor's built-in models, simply add the apertis/ prefix to ensure requests route through Apertis:

The apertis/ prefix is automatically stripped on our end — all downstream processing (model validation, channel routing, billing, and logging) uses the original model ID. Fully compatible with existing suffixes like :web and code: prefix and all models.

Model Detail Page

Each model's detail page now includes a Cursor IDE Model IDs section listing all available apertis/-prefixed identifiers. Click to copy, and hover the infoicon for context.

Happy Building

Our AI infrastructure is powered by Amazon Bedrock, providing enterprise-grade reliability and compliance for all users.

• AWS Partner Network: Registered as Apertis AI (Stima AI LLC), Partner status Active
• Powered by Amazon Bedrock: Direct access to Claude models (Sonnet, Opus, Haiku) via AWS infrastructure
• Footer trust badges: Added AWS Partner Network Member and Powered by Amazon Bedrock badges alongside existing OWASP, NIST CSF, and PCI DSS compliance indicators

Happy Building.

MiMo-V2-Pro

MiMo-V2-Pro is Xiaomi's flagship foundation model with over 1T parameters and a 1M-token context window, optimized for advanced agentic workflows. It is highly adaptable to general agent frameworks such as OpenClaw, delivering strong performance in complex, real-world task execution. Ranking among the top tier on benchmarks like PinchBench and ClawBench, with performance approaching models like Opus 4.6, MiMo-V2-Pro is designed to act as the core intelligence of agent systems, orchestrating workflows, driving production engineering tasks, and delivering reliable results at scale.

MiMo-V2-Omni

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.

Happy Building.

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. It incorporates advanced multi-agent collaboration, enabling the model to plan, execute, and iteratively refine complex tasks across dynamic environments.

Built for production-grade workflows, M2.7 supports tasks such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. With strong benchmark performance—including 56.2% on SWE-Pro, 57.0% on Terminal Bench 2, and 1495 ELO on GDPval-AA—it sets a new standard for multi-agent systems in real-world digital workflows.

Happy Building

What changed?

In v1.x, our SDK used a custom implementation that caused compatibility issues with some tools — most notably Zod parsing errors and empty responses in OpenCode. We've completely rewritten the SDK as a thin wrapper over the official @ai-sdk/openai-compatible package, guaranteeing compatibility across the ecosystem.

What you need to do

Nothing — the API is unchanged. Just update:

  npm install @apertis/ai-sdk-provider@latest

OpenCode users

You can now use our SDK directly in your OpenCode config:

  {
    "provider": {
      "apertis": {
        "npm": "@apertis/ai-sdk-provider",
        "options": {
          "apiKey": "your_apertis_api_key"
        },
        "models": {
          "claude-opus-4-6": { "name": "Claude Opus 4.6" },
          "claude-sonnet-4-6": { "name": "Claude Sonnet 4.6" }
        }
      }
    }
  }

Key improvements

• Works with AI SDK v5+ (previously required v6+)
• Zero Zod parsing errors
• Zero streaming issues
• Simplified and battle-tested codebase

Full documentation:

• Installation: https://docs.apertis.ai/installation/opencode
• GitHub: https://github.com/apertis-ai/apertis-sdk
• NPM: https://www.npmjs.com/package/@apertis/ai-sdk-provider

As always, get your API key or subscription keys to use all supported coding tools!

Happy Building.