今日前沿
Claude Opus 5.5 在前沿模型中领先
Anthropic 在 Artificial Analysis 智能指数上以 1 分的优势领先于 OpenAI。
模型智能水平（0–100）
发现模型
基于 OpenRouter 真实使用情况、生产环境性能和独立基准测试的实用起点。
路由器
查看所有路由器The 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).
性价比领先模型
按标价计算，每美元可获得的能力最多。
| 排名 | 模型 | 智能水平百分位 | 编程百分位 | 智能体能力百分位 | token |
|---|---|---|---|---|---|
| 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 |
速度最快的模型
在多个提供商中输出速度中位数最高。
| 排名 | 模型 | 吞吐量 | TTFT p50 | 提供商 |
|---|---|---|---|---|
| 1 |  | 724 tok/s | 178ms | 27 |
| 2 | | 478 tok/s | 252ms | 23 |
| 3 | 448 tok/s | 202ms | 5 | |
| 4 | | 420 tok/s | 302ms | 11 |
| 5 |  | 369 tok/s | 187ms | 2 |
始终指向最新版本的别名
固定一个模型 ID，即可始终获取该系列的最新版本。
| 排名 | 模型 | 系列 token | 上下文 |
|---|---|---|---|
| 1 | 5.1T | 1M | |
| 2 | | 52.9B | 33K |
| 3 | | 1T | 1.1M |
| 4 |  | 4.8T | 1M |
| 5 | | 65.5T | 1M |
免费模型
使用最多且提供免费端点的模型。
| 排名 | 模型 | token/周 | 上下文 |
|---|---|---|---|
| 1 | 2.9T | 1M | |
| 2 | 2.6T | 1M | |
| 3 | 1T | 1M | |
| 4 | 740.3B | 512K | |
| 5 | 374.5B | 1M |
图像模型
通过领先的模型提供商生成和编辑图像。
视频模型
通过领先的模型提供商，根据文本和图像提示生成视频。
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