오늘의 프런티어
Claude Opus 5.5 프런티어 선두 등극
Anthropic이 Artificial Analysis 지능 지수에서 OpenAI을 1점 차로 앞섭니다.
모델지능(0–100)
모델 탐색
실제 OpenRouter 사용, 프로덕션 성능 및 독립적인 벤치마크를 기반으로 한 실용적인 출발점입니다.
라우터
모든 라우터 보기The Auto Router automatically selects the best model for your prompt, powered by the wisdom of the market. It routes you based on what the OpenRouter community collectively spends on for exactly the kind of task your prompt represents. It looks at spend over a trailing 7-day window, so it stays up to date with new model releases automatically. Your response will be priced at the same rate as the routed model. The cost_tier setting (low, medium, high, xhigh, or max) selects how much you're willing to pay. The default is low, giving you a highly cost-efficient set of models. When selecting models, the auto router respects any guardrails, privacy/ZDR policies, and model restrictions you have in the request or account settings. Multi-turn conversations stick to one model until it is no longer a leading choice for your task. Learn more in our [docs](/docs/guides/routing/routers/auto-router). For another way to route, see [Pareto Code](/openrouter/pareto-code).
The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that support features needed for your request such as image understanding, tool calling, structured outputs and more.
The Pareto Router maintains a tiered shortlist of strong coding models, ranked by [Artificial Analysis](https://artificialanalysis.ai/) coding percentiles. Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how strong a coder you need; higher scores select stronger (and typically more expensive) models. If you omit min_coding_score, the router defaults to the High tier. Selecting Nitro from the variant dropdown ranks the models in your tier by measured throughput and routes each request to the fastest one, so you trade some model variety for lower latency. Read the [Pareto Router docs](https://openrouter.ai/docs/guides/routing/routers/pareto-router) for the full selection logic, fallback behavior, and how to customize routing. For another way to route, see the [Auto Router](/openrouter/auto).
Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a judge model synthesizes their responses into a structured analysis — consensus, contradictions, partial coverage, unique insights, and blind spots — and writes the final answer from it. By default the panel is the `Quality` preset; switch to `Budget` for cheaper members, or override the panel and judge entirely with the fusion plugin's `analysis_models` and `model` fields. Reach for Fusion when a single model isn't enough — research, expert critique, or anywhere the cost of being wrong outweighs a few extra completions. Because Fusion runs every panel member plus a judge call, your request is priced as the sum of those underlying completions rather than a single model. To see which models ran, visit [Activity](/activity). Note: Context limits are dependent on which models you select. Learn more in our [docs](/docs/guides/features/plugins/fusion). For another way to route, see the [Auto Router](/openrouter/auto).
The experimental version of our Auto Router where we test new improvements. Use it to get the latest and greatest version of our general purpose auto router, but expect beta quality. When new improvements are proven in auto-beta, we graduate them to the auto router. We've love to hear your feedback on whether auto-beta is working for you, or requests for routing improvements. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the response. Your response will be priced at the same rate as the routed model. Learn more, including how to customize the models for routing, in our [docs](/docs/guides/routing/routers/auto-router).
가성비 상위 모델
정가 기준 달러당 가장 높은 성능.
| 순위 | 모델 | 지능 백분위 | 코딩 백분위 | 에이전트 백분위수 | 토큰 |
|---|---|---|---|---|---|
| 1 | 38 | 79 | 91 | 15.3T | |
| 2 |  | 25 | 72 | 81 | 629.1B |
| 3 |  | 63 | – | – | 28.7B |
| 4 |  | – | 75 | 73 | 3.9T |
| 5 | | – | 59 | 54 | 2.6T |
가장 빠른 모델
여러 제공업체에 걸쳐 가장 높은 출력 속도 중앙값.
| 순위 | 모델 | 처리량 | TTFT p50 | 제공업체 |
|---|---|---|---|---|
| 1 |  | 733 tok/s | 176ms | 27 |
| 2 | | 500 tok/s | 257ms | 23 |
| 3 | 448 tok/s | 216ms | 5 | |
| 4 | | 417 tok/s | 295ms | 11 |
| 5 |  | 368 tok/s | 237ms | 2 |
항상 최신 버전을 가리키는 별칭
모델 ID 하나를 고정하면 해당 제품군의 최신 릴리스를 항상 사용할 수 있습니다.
| 순위 | 모델 | 모델 계열 토큰 | 컨텍스트 |
|---|---|---|---|
| 1 | 5.1T | 1M | |
| 2 | | 52.9B | 33K |
| 3 | | 1T | 1.1M |
| 4 |  | 4.8T | 1M |
| 5 | | 65.5T | 1M |
무료 모델
무료 엔드포인트가 있는 모델 중 가장 많이 사용되는 모델입니다.
| 순위 | 모델 | 토큰/주 | 컨텍스트 |
|---|---|---|---|
| 1 | 2.9T | 1M | |
| 2 | 2.6T | 1M | |
| 3 | 1T | 1M | |
| 4 | 740.3B | 512K | |
| 5 | 374.5B | 1M |
이미지 모델
주요 모델 제공업체의 모델로 이미지를 생성하고 편집합니다.
동영상 모델
주요 모델 제공업체의 모델을 통해 텍스트 및 이미지 프롬프트로 동영상을 생성하십시오.
모든 모달리티 살펴보기
수행할 작업에 맞춰 엄선된 모델로 시작하십시오.
모든 모델 둘러보기모델 페이지에서 전체 카탈로그를 검색, 필터링, 정렬하고 비교하십시오.
전체 602 개 모델 보기