Code Arena 记录了 35,827,928 月访问量，月度环比增长为 +19.4%，定价为免费。General Reasoning 记录了 9,441 月访问量，增长率为 +68.5%，定价为免费。
General Reasoning (GR) is a London research lab building reinforcement learning infrastructure and models that can reason, plan and coordinate over long horizons, with open releases for the wider research community.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | arena.ai | gr.inc |
| 定价模式 | 免费 | 免费 |
| 月访问量 | 3582.79万 (35,827,928) | 9441 (9,441) |
| 月度环比流量变化 | +583.28万 (+19.4%) | +3838 (+68.5%) |
| 主要市场与份额 | 🇮🇳 印度 (13.1%) | 🌐 全球 (—) |
| 直接访问 / 月 | 2433.99万 | 3745 |
| 用户评分 | 4.7 | 4.2 |
| 支持的平台 | 网站 | 网站 |
让 AI 编程模型同台竞技
把同一个编程需求发给多个主流模型，对比它们生成的应用与逻辑。
实时观看模型搭建 Web 应用和网站，看到的不只是最终文件，还有过程。
项目不止于零散片段，能检验模型如何组织组件、路由与样式。
追踪哪些编程模型长期累积胜场，找出稳定表现优异的选手。
General Reasoning (GR) is a London research lab building reinforcement learning infrastructure and models that can reason, plan and coordinate over long horizons, with open releases for the wider research community.
Trains models that can communicate and coordinate as a team, with collective rather than individual reward signals.
Explores cooperative AI behaviour and safe scaling through multi-agent experiments and environment design.
Publishes model series and research artefacts so the wider community can build on the work.
Benchmarks that measure whether models stay coherent as situations change over long horizons.
免费 / 开源由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
专项更强用于部署 GPT-6 Astra、Sol、Luna 以及实时多模态智能体的企业级开发者平台与 API。
免费 / 开源阿里云第四代基础大模型家族与全模态 AI 助手 — 涵盖 Qwen 4 (Qwen4)、Qwen4-Max、Qwen4-Plus、Qwen4-Flash、Qwen4-27B 与 Qwen 3.8-Flash-Next 架构
免费 / 开源阿里云第四代基础大模型家族与全模态 AI 助手 — 涵盖 Qwen 4 (Qwen4)、Qwen4-Max、Qwen4-Plus、Qwen4-Flash、Qwen4-27B 与 Qwen 3.8-Flash-Next 架构
免费 / 开源Civitai is a community-driven hub where people share, discover and run open-source image, video and 3D AI models, generate art in the browser, and compare LoRAs, checkpoints and workflows.
专项更强TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
专项更强TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
专项更强Google DeepMind 榜首级网络安全防御与长周期智能体工程前沿模型 — Gemini 4 Carbon (Gemini Carbon 4)，继 Gemini 4 Argon 后的巅峰之作
专项更强Google DeepMind 榜首级网络安全防御与长周期智能体工程前沿模型 — Gemini 4 Carbon (Gemini Carbon 4)，继 Gemini 4 Argon 后的巅峰之作
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
让 AI 模型同台竞技、由真人投票选出最佳设计产出的众包竞技场
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
