
OpenRouter
A model gateway that puts hundreds of AI models from dozens of providers behind one OpenAI-compatible API, billed from prepaid credits.Reference profile
About OpenRouter
OpenRouter is an AI model gateway: hundreds of models from dozens of providers behind one OpenAI-compatible API, billed from prepaid credits, with failover when a provider goes down. The platform is a closed hosted service; its official SDKs are Apache-2.0. The homepage claims 700T+ tokens a month, 10M+ users, 80+ providers and 500+ models (as reported by the vendor). As of 2026-10-26, models bill at list price plus a 5.5% fee on credit purchases (8% on Business).

What it is
OpenRouter sits between models and the companies that serve them. With one API key and an OpenAI-compatible request format, developers reach models from Anthropic, OpenAI, Google, DeepSeek and others, as well as the same open-weight model as deployed by several inference providers. Requests go to OpenRouter first and are forwarded to a provider under the routing rules, and costs come out of the account's prepaid credits.
As of 2026-10-26 the public models endpoint lists 467 models and the providers endpoint lists 114 providers; the homepage says 500+ models and 80+ providers (as reported by the vendor). Coverage spans text, image, video and audio models, and ElevenLabs speech synthesis and transcription models arrived in October 2026.
Around the inference API sit a web chatroom, public rankings ordered by token usage, a usage analytics dashboard, team budgets and key management, and features added in 2026: Fusion multi-model synthesis, a batch API, the Ori tools and private endpoints.
The contracting entity is OpenRouter, Inc. The terms of service require users to be at least 18 and put disputes into binding arbitration. The About page says the company started in early 2023.
Inference is billed at the provider's list price on every plan.
Core capabilities
Multi-provider routing is the base. When several providers serve the same model, OpenRouter load-balances on price unless told otherwise: it drops providers with significant outages in the last 30 seconds, picks among the cheapest candidates weighted by the inverse square of price, and keeps the rest as fallbacks. Developers can also sort by price, throughput or latency, pin or exclude providers, and set a maximum price.
Automatic model selection. openrouter/auto picks a model per request, and an August 10, 2026 update made it follow the past 7 days of real usage on the platform, which the post puts at more than 55 trillion tokens of weekly spend (as reported by the vendor). Fusion sends one prompt to a panel of models and has a judge model merge the answers; the vendor's tests on the DRACO deep-research benchmark report panels scoring above single models (as reported by the vendor).
Cheaper paths. The batch API launched on September 22, 2026: providers complete requests at a time of their choosing within 24 hours and usually charge 50% of their normal per-token price. The vendor says the median batch in its two-week beta finished in 7 minutes, across 230,000+ batches (as reported by the vendor).
Enterprise features keep arriving. In-region routing decrypts and forwards requests only inside a chosen region and returns an error rather than leave it; Security Center lists every key with its risk; the activity dashboard splits spend by agent, model and request; and private endpoints, launched October 14, put an enterprise's own fine-tuned models or dedicated deployments behind the same API, visible only to that organization.
Each of these features has its own rules. In-region routing uses separate base URLs: requests to us.openrouter.ai are decrypted inside the US and go only to US provider endpoints, while eu.openrouter.ai covers the EU and EEA, the UK and Switzerland; API keys, request bodies and model IDs stay the same. Security Center's overview sorts keys into four groups: no spend limit, never expires, unused or idle for 90+ days, and safe to remove. The vendor says its own audit found more than 1,000 active keys across 85 employees (as reported by the vendor). Private endpoints are an Enterprise add-on, stay out of public model lists, rankings and benchmarks, and can fall back to public providers if the endpoint fails or hits its rate limit. The activity dashboard opens with five metrics: total spend, requests, token volume, cache hit rate and blended cost per million tokens, and the same data is available through the Analytics API.
Public data. The rankings order models and apps by real token usage and are one of the data sources commonly cited on model market share. The main leaderboard ranks by tokens processed and the market-share chart counts requests; the page states that neither measures users, spend or task quality. The rankings data is licensed CC BY 4.0.
Who it's for / Not for
A fit for: development teams that call models from several vendors. One API, one bill and one usage report cover every model, and switching models means changing one string.
A fit for: products that depend on uptime but do not want to maintain several provider integrations. Requests to failed or rate-limited providers are retried on other providers automatically, and an attempt that errors is not charged for model tokens.
A fit for: organizations that need central control of AI spend. Standard already includes budgets, spend controls and management keys; Business adds in-region routing, workload identity federation and up to 1,000 workspaces; Enterprise adds SSO/SAML, contractual SLAs and invoicing.
A fit for: offline jobs that can trade latency for price. The batch API usually costs half the normal rate, which suits data labelling, bulk embeddings and eval scoring.
Not a fit for: high-volume teams that use a single vendor. Models bill at list price plus a 5.5% to 8% fee on credit purchases, and the FAQ states that inference is not discounted for volume, so a direct contract may cost less.
Not a fit for: anyone under 18, or teams with strict data-handling requirements that will not review each provider's data policy, since providers differ on prompt retention and training. The terms of service restrict use in some regions and for some purposes; see the terms for details.
How it compares
Against calling vendors directly, inference prices are the same: the FAQ says provider list prices pass through with no markup (as reported by the vendor), but credit purchases carry a 5.5% platform fee, or 8% on Business. In return come one bill, cross-provider failover, a single usage dashboard and one API. Going direct keeps vendor-specific features and contract discounts.
Against Hugging Face Inference Providers, whose pricing docs say provider rates are charged with no additional fees (as of 2026-10-26, as reported by the vendor) and whose catalog centres on open-weight models, OpenRouter covers closed flagship models as well as open-weight ones and takes its fee when credits are bought.
Against self-hosted open-source gateways, projects such as LiteLLM run on one's own servers with an OpenAI-compatible API, cost tracking and load balancing and no platform fee, but provider accounts, keys, failover and billing stay in-house. OpenRouter's BYOK mode, with customer-supplied provider keys, sits in between: with one's own provider keys, the first $25,000 of list-price inference each month carries no fee and usage above that is charged 5% of list price (as of 2026-10-26).
Getting started
Sign-up works with Google, GitHub or MetaMask. The homepage lays out three steps: create an account, buy credits, generate an API key. A team organization can be added later.
The API follows the OpenAI format, so an existing OpenAI client works after changing the base URL and key. Official SDKs cover TypeScript, Python and Go, and ai-sdk-provider plugs into the Vercel AI SDK.
Free models work without a top-up, at 20 requests per minute and 50 per day, rising to 1,000 a day once the account has bought at least $10 of credits. Failed attempts count toward the daily cap, and a negative balance blocks free models. Paid models have no plan-based rate limit; limits on paid models usually come from the provider.
For coding tools, the ori CLI released in August 2026 writes OpenRouter configurations for Claude Code, Codex, OpenCode and Hermes in one step, and Ori Eval scores candidate models on an application's own data.
Pricing & license
As of 2026-10-26 the pricing page has four tiers. Free offers 25+ free models at 50 requests a day, without auto-routing, budgets or prompt caching. Standard and Business are usage-based at provider list prices and differ in the fee on credit purchases: 5.5% on Standard, 8% on Business, which adds in-region routing, workload identity federation, advanced notifications and more workspaces. Enterprise has negotiable fees, a private-endpoints add-on, SSO, contractual SLAs and invoicing.
The terms set the credit rules: $5 minimum and $25,000 maximum per purchase; unused credits are refundable within 24 hours of purchase, platform fees are not, and crypto payments never are; unused credits may expire 365 days after purchase. Payment methods include cards, AliPay and a crypto stablecoin; Enterprise can pay by invoice and purchase order.
Other details: BYOK usage is free up to $25,000 of list-price inference a month and 5% of list price above that; the batch API usually costs half the normal rate; opting in to prompt and completion logging earns a 1% usage discount.
On licensing, the platform is a closed hosted service; the official SDKs, including ai-sdk-provider, typescript-sdk, python-sdk and go-sdk, are Apache-2.0.
Risks & limits
The fee is charged on top-ups. Model prices match provider list prices, but each credit purchase carries a 5.5% or 8% platform fee, and that fee is non-refundable.
Data passes through several parties. The privacy policy says prompts go to the provider selected directly or by routing, providers have different data policies, and some may train on inputs and outputs. OpenRouter itself does not train on them and logs request metadata such as timestamps, model and token counts; prompts and completions are logged only on opt-in. Account settings include a zero-data-retention option that limits routing to providers that keep no data.
Credits expire and the refund window is short. Unused credits may expire 365 days after purchase, refunds are accepted only within 24 hours of purchase, and promotional credits are neither refundable nor redeemable. Material changes to the terms come with 30 days' notice, and disputes go to binding arbitration. The terms of service restrict use in some regions and for some purposes; see the terms for details.
How it got here
OpenRouter started in early 2023, and the About page calls it the first LLM marketplace; the OpenRouterTeam GitHub organization dates from July 2023. The About page's press section links coverage of two funding rounds, of $40 million and $113 million.
2026 brought a fast release pace. Fusion launched on June 12; Ori Eval on August 3 and the ori CLI on August 4; the auto router switched to market usage on August 10; and the activity dashboard was rebuilt on August 17.
Releases continued from September: a second region for in-region routing on September 9, after the first region in October 2025; the batch API on September 22; Security Center on September 28; nine ElevenLabs speech synthesis and two transcription models on October 7; and private endpoints on October 14.
The open-source side is mostly client code. typescript-sdk v1.5.7 shipped on October 24, 2026 02:03 (UTC+8). ai-sdk-provider has about 690 GitHub stars, and about 61 contributors with GitHub accounts, as of 2026-10-26.
Our verdict
Inference: a fit for development teams that use models from several vendors and value failover and a single bill. One API covers hundreds of models, switching models or providers costs little, and the overhead is a platform fee from 5.5% on credit purchases.
Inference: a fit for organizations that need central control of AI spend and keys. Business and Enterprise add in-region routing, and Enterprise adds contractual SLAs; budgets start on Standard, and Security Center is on every plan.
Inference: not a fit for high-volume single-vendor teams: the fee and the absence of inference discounts favour going direct. Also not a fit for sensitive workloads whose owners will neither review each provider's data policy nor enforce zero data retention.
Why it matters
OpenRouter puts many model providers behind one API, making it easy to compare and switch models.
Sources
Official
- OpenRouter - The Unified Interface For LLMs · Accessed Oct 26, 2026
- Pricing | OpenRouter · Accessed Oct 26, 2026
- About - The Unified Interface For LLMs | OpenRouter · Accessed Oct 26, 2026
- OpenRouter FAQ · Accessed Oct 26, 2026
- Credit Limits and Rate Limits - OpenRouter docs · Accessed Oct 26, 2026
- Provider Routing - OpenRouter docs · Accessed Oct 26, 2026
- BYOK - OpenRouter docs · Accessed Oct 26, 2026
- OpenRouter models API · Accessed Oct 26, 2026
- Terms of Service | OpenRouter · Accessed Oct 26, 2026
- Privacy Policy | OpenRouter · Accessed Oct 26, 2026
- Enterprise | OpenRouter · Accessed Oct 26, 2026
- LLM Rankings | OpenRouter · Accessed Oct 26, 2026
- OpenRouter Blog · Accessed Oct 26, 2026
- Private Endpoints: Bring Your Fine-Tuned Models and Capacity to OpenRouter · Accessed Oct 26, 2026
- In-Region Routing (OpenRouter blog) · Accessed Oct 26, 2026
- Batch API: half-price inference by bundling requests · Accessed Oct 26, 2026
- Manage and de-risk API keys with new Security Center · Accessed Oct 26, 2026
- Surpassing Frontier Performance with Fusion · Accessed Oct 26, 2026
- ElevenLabs is now on OpenRouter · Accessed Oct 26, 2026
- Understand AI usage: every agent, model, and request · Accessed Oct 26, 2026
- Model Routing Powered by Wisdom of the Market · Accessed Oct 26, 2026
- Ori Eval: Find the Best Model for What Is Being Built · Accessed Oct 26, 2026
- Ori Harness: The Best Way to Use OpenRouter with Any Harness · Accessed Oct 26, 2026
Media & third party
- OpenRouterTeam on GitHub · Accessed Oct 26, 2026
- Hugging Face Inference Providers: Pricing and Billing · Accessed Oct 26, 2026
Related products
- OpenRouterTeam/ai-sdk-provider on GitHub · Accessed Oct 26, 2026
- OpenRouter typescript-sdk v1.5.7 release · Accessed Oct 26, 2026
- BerriAI/litellm on GitHub · Accessed Oct 26, 2026
Updates & reading
In Cloudflare's AI Data Leak, Isolation Fell Between the Cloud and the Open-Source Engine
An SGLang bug report that spelled out the root cause and a patch was closed by a bot for inactivity three days before Cloudflare heard about the leak. Cloudflare assumed the engine would reject prompts that didn't fit; in disaggregated mode it didn't. Small teams that self-host inference or pick a provider face the same gap.
DeepSeek's Engine Was Matched in Days. The Race Moves to What It Kept.
DeepSeek released DeepInfer, the engine behind its own service, and within days vLLM and SGLang each published their own tests saying they had matched it. Engine speed is starting to look like a commons. Caching, load balancing, operations and price are where providers will now pull apart, and for most small teams the gain will arrive as more and cheaper APIs, not as something they run themselves.