Edgee Turbo Models

Product Introduction

1. Definition: Edgee Turbo Models is a developer tool and inference acceleration service designed to run state-of-the-art, open-source large language models (like GLM 5.1, Kimi K2.7 Code, and MiniMax M2.7) within the Claude Code agent at optimized speeds. It functions as an intelligent API gateway that sits between a developer's coding environment and model providers.
2. Core Value Proposition: It exists to solve the latency and cost problem in agentic coding workflows. The core promise is to deliver turbo-speed inference (up to 4× faster, ~200 tokens per second) for frontier open-source models at a predictable, flat-rate price of $29/month, drastically reducing both development time and operational costs without requiring code changes.

Main Features

1. High-Throughput Turbo Inference: This feature delivers model responses at speeds up to ~200 tokens per second, a 4x improvement over standard endpoints (~50 tok/s). It works by routing requests through dedicated, high-throughput inference infrastructure optimized for raw speed and parallel processing, specifically built for the demands of agentic loops and long-context reasoning.
2. Flat-Rate, Predictable Pricing: Instead of a metered bill that escalates with every token generated by a coding agent's hundreds of calls, Edgee offers a flat $29/month subscription. This model provides cost certainty and makes the use of powerful open-source models financially sustainable for continuous agent operations.
3. Seamless, Minute-Level Integration: The setup involves a one-time installation of the Edgee CLI (curl -fsSL https://edgee.ai/install.sh | bash) and launching Claude Code via the edgee launch claude command. Developers then select a model in the Edgee dashboard. This process requires no code changes, preserves existing CLAUDE.md configurations and MCP servers, and involves no new SDK or API key management.
4. Curated Lineup of Frontier Open-Source Models: Provides access to a managed selection of top-tier open-weight coding models, each offered as a "Turbo" variant. This includes the all-rounder GLM 5.1, the long-context specialist Kimi K2.6, the code-tuned Kimi K2.7 Code, and the balanced MiniMax M2.7, all served via the optimized pathway.
5. Intelligent Routing with Automatic Fallback: The Edgee gateway acts as a proxy, intelligently routing requests. If a Turbo inference lane for a selected model is busy or unavailable, the system automatically falls back to a standard endpoint to ensure continuity of service without developer intervention.

Problems Solved

1. Pain Point: The "silent tax" of latency and cost in agentic loops. A single coding task like a refactor can trigger dozens of model calls. At standard speeds and metered pricing, this multiplies wait times into minutes and runs up a significant bill, breaking developer flow and limiting agent utilization.
2. Target Audience: Software Developers, AI/ML Engineers, and Technical Leads who use AI coding agents (like Claude Code or Codex) for complex, multi-step tasks. Specifically, those building with or managing agentic coding systems where model call frequency is high, and DevOps or platform engineers responsible for optimizing development toolchains and controlling cloud costs.
3. Use Cases: Essential for large-scale refactoring operations, generating substantial code diffs (e.g., 500+ line files), long-context whole-repository reasoning, and tight iterative development loops (edit-run-fix) where the cumulative latency of standard models becomes a critical bottleneck. Also valuable for teams seeking to migrate from expensive closed-API pricing to a more cost-effective, scalable solution.

Unique Advantages

1. Differentiation: Unlike standard API access to open-source models, Edgee Turbo provides a speed-optimized layer. Unlike closed-frontier model providers (e.g., direct OpenAI/Anthropic APIs), it offers comparable coding quality at a fraction of the cost with 4x faster token generation and a flat monthly fee instead of per-token metering. It differentiates from DIY hosting by being a fully managed service requiring zero infrastructure management.
2. Key Innovation: The core innovation is the specialized, high-throughput inference infrastructure dedicated to serving specific open-source models (Turbo variants). This is coupled with an intelligent gateway that handles routing, fallback, and token compression—integrating these acceleration and cost-saving features directly into the developer's existing workflow with a two-minute, zero-code-change setup.

Frequently Asked Questions (FAQ)

1. Can I run open-source models like GLM or Kimi directly in Claude Code? Yes, Edgee Turbo Models is specifically designed to let you run state-of-the-art open-source coding models within Claude Code. The service acts as a bridge, enabling models like GLM 5.1, Kimi K2.7 Code, and MiniMax M2.7 to be used at high speed.
2. How much does Edgee Turbo Models cost and how is it priced? Edgee Turbo Models costs a flat rate of $29 per month. This is a subscription that includes access to the entire lineup of Turbo model variants with no additional metered charges based on token usage, providing predictable cost control.
3. Does using a Turbo model affect the output quality? No, there is no quality trade-off. The Turbo variants are the same frontier-grade, open-weight models. Turbo only changes how fast they are served through optimized infrastructure, not what they produce. The final outputs are identical in quality to running the base model.
4. How do I set up Edgee Turbo Models to start using faster models? Setup takes minutes: 1) Install the Edgee CLI with a one-line curl command. 2) Launch Claude Code through Edgee using edgee launch claude. 3) Pick your desired model in the Edgee dashboard. No changes to your CLAUDE.md or MCP server configurations are required.
5. What happens if a Turbo model lane is busy or unavailable? The Edgee Agent Gateway includes automatic fallback. If the dedicated high-throughput Turbo lane for your selected model is congested or down, your requests will be seamlessly routed to a standard endpoint to ensure you experience minimal service interruption.