An AI model gateway from Havenbyte LLC in the United States. It gives you access to a wide range of models — GPT, Claude, Grok, and others — through a single API key. Modelflare advertises pricing below official API list rates and lets you choose among three model groups tuned for low cost, balance, or high stability. Because it exposes OpenAI-compatible and Anthropic Messages-compatible endpoints, you can adopt it by swapping the base URL and key in existing code. Dedicated connection guides cover the major AI coding tools, including Claude Code, Codex, Gemini CLI, and OpenCode.
Key Features
- One API key for many models: Call models from multiple vendors — GPT, Claude, Grok, and more — through a single key. No separate accounts, key rotations, or invoices to chase per vendor
- OpenAI- and Anthropic-compatible endpoints: Existing OpenAI SDK code and applications migrate by changing only the base URL and API key. Tools built on the Anthropic Messages API, such as Claude Code, are supported as well
- Three model groups with fallback: Groups tuned for low cost, balance, and high stability. Within a group, ordered fallback kicks in so that a busy or failing upstream model hands off to another automatically
- Connection guides for AI coding tools: The documentation walks through setup for Claude Code, Codex (Windows / macOS / Linux), Gemini CLI, Grok Build, OpenCode, and the profile-switching tool CC-Switch
- Per-request logs and cost records: The dashboard shows token usage and cost for each request, so you can see which model was called from which key and what it cost, all in one place
- Per-key access control: Permissions and scope can be split per API key, which makes it easy to separate development, production, and per-member usage
Pricing
| Plan | Price | Highlights |
|---|---|---|
| Pay-as-you-go | Token-based rates (check the official site) | Advertised below official API list prices; rates differ by model group |
Modelflare is built around usage-based billing rather than a fixed monthly subscription. The dashboard includes a cost comparison across model groups so you can see its rates side by side with official API list prices. Note that the pricing page is rendered with JavaScript, and specific rates could not be retrieved programmatically at the time of writing. Check the official pricing page for current numbers before you commit.
Pricing is current as of August 2026. Check the official site for the latest rates.
Pros & Cons
✅ Pros
- Consolidates models from multiple vendors into one key and one bill, cutting management overhead
- Advertises rates below official APIs, which matters most for token-hungry agent workloads
- OpenAI / Anthropic compatibility means existing code needs almost no rewriting
- Official setup guides exist for individual AI coding tools such as Claude Code and Codex
- Model groups with fallback reduce exposure to a single vendor’s outages or congestion
⚠️ Cons
- The pricing page is dynamically rendered, making it hard to compare rates quickly before adoption
- Havenbyte LLC is not a widely known company, so you have to judge long-term viability and support on your own
- Adding a gateway adds a failure point: if Modelflare goes down, every model behind it goes with it
- Newly released models may arrive later here than on the official APIs
- For business use, review the terms for data handling — log retention and whether requests are used for training
Comparison with Similar Services
| Criterion | Modelflare | OpenRouter | Vercel AI Gateway | LiteLLM (self-hosted) |
|---|---|---|---|---|
| Provider | Havenbyte LLC (US) | OpenRouter | Vercel | BerriAI (open source) |
| Delivery | Hosted gateway | Hosted gateway | Hosted gateway | Runs on your own server |
| Pricing stance | Below official API prices | Roughly official prices | Roughly official prices | Vendor cost only |
| Fallback | Via model groups | Yes | Yes | Yes |
| Anthropic compatibility | Yes | Yes | Yes | Yes |
| Operational burden | None | None | None | You run the server |
Who Is It For
- Developers running Claude Code or Codex daily who want to shave down token costs
- Anyone who wants to try models from several vendors but finds account and key management tedious
- Builders who need to switch between models in their own apps, or want a fallback path during outages
- Teams that want the single pane of glass a self-hosted gateway like LiteLLM offers, without running one
- Teams that need per-request visibility into which model consumed how much budget
Summary
Modelflare bundles AI models from multiple vendors behind a single API key, with below-official rates and model groups that fall back automatically. OpenAI / Anthropic compatibility keeps adoption cost low, and the savings show up fastest for developers who lean heavily on Claude Code or Codex. On the other hand, the provider’s size and the JavaScript-rendered pricing page leave things you should verify yourself first. The safe approach is to start with a small workload, measure the actual rates and response stability, and shift more traffic over once you are satisfied.