AI UP LAB面向任务的 AI 实践资源AI resources for real tasks
收藏Saved
更多More
StarStar
Google Google 官方 Official 社区 showcase Community showcase + 精选 + Featured

Gemini 4 Argon（Google） Gemini 4 Argon (Google)

Gemini 4 Argon (Google)

Google 于 2026-09-30 宣布的下一代前沿模型 Gemini 4 Argon。官方称面向长程复杂工作流：真实软件工程、法律/金融等企业知识工作，以及网络安全防御；输出 token 上限扩到 1M（相对此前 64K）。首发只对 Fairwind Program 受信网络防御方开放；公共页写明后续尽快扩到开发者、企业与消费者，并从付费 API 与 Google AI Ultra 订户开始。入门价官方写 $2 / 百万输入 token、$10 / 百万输出 token，缓存输入相对输入价 95% off；入门期后升至 $4 / $20。官方评测摘录（标官方称，本库未复跑）：DeepSWE v1.1 77.9%；Vals Index 领先；AutomationBench 51.3%（#1）；LVBench 91.7%；CWE-bench v1 68% 并列第一。第三方榜 Artificial Analysis https://artificialanalysis.ai/models/gemini-4-argon（Gemini 4 Argon (High)，晚间 GET 200）：Intelligence Index 53（#8/223），价 $2/$10、Cache Discount 95%、每 Intelligence Index 任务约 $1.99，1M 上下文，发布日 2026-09-30；速度栏 N/A。晨间 changelog 跳过非 A/B/C 头条，未收本模型；晚间补进 Models。 Google’s next frontier model, announced 2026-09-30. Vendor claim: built for long-horizon complex workflows across real-world software engineering, enterprise knowledge work such as legal and finance, and cybersecurity defense; output token limit raised to 1M (from the previous 64K). Initial access is limited to trusted cyber defenders in the Fairwind Program; the public page says broader access for developers, enterprises, and consumers will follow as soon as possible, starting with paid API customers and Google AI Ultra subscribers. Introductory price is stated as $2 per million input tokens and $10 per million output tokens, with cached input at 95% off the input price; after the introductory period the page says $4 / $20. Vendor eval excerpts (marked as vendor claims, not re-run here): DeepSWE v1.1 77.9%; leading on the Vals Index; AutomationBench 51.3% (#1); LVBench 91.7%; CWE-bench v1 68% tied for first. Third-party board Artificial Analysis https://artificialanalysis.ai/models/gemini-4-argon (Gemini 4 Argon (High), evening GET 200): Intelligence Index 53 (#8/223), $2/$10, Cache Discount 95%, about $1.99 per Intelligence Index task, 1M context, released 2026-09-30; speed listed N/A. Morning changelog skipped non-A/B/C headlines and did not file this model; this evening wave adds it to Models.

预览：Playwright 实拍 blog.google Gemini 4 Argon 首屏 Preview: Playwright capture of the blog.google Gemini 4 Argon above-the-fold

来源Sources

官方模型页 Official model page Google 官方页：Gemini 4 Argon Google official page: Gemini 4 Argon Google DeepMind / Google 2026年9月30日 Sep 30, 2026 https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/ 社区 showcase Community showcase Artificial Analysis：Gemini 4 Argon (High) 智能 / 价格分析（第三方榜） Artificial Analysis: Gemini 4 Argon (High) intelligence / price analysis (third-party board) Artificial Analysis 2026年9月30日 Sep 30, 2026 https://artificialanalysis.ai/models/gemini-4-argon 社区 showcase Community showcase Artificial Analysis 文章：Gemini 4 Argon 重回前三实验室智能梯队 Artificial Analysis article: Gemini 4 Argon returns Google among the top three labs Artificial Analysis 2026年10月1日 Oct 1, 2026 https://artificialanalysis.ai/articles/gemini-4-argon-google-top-three-labs 社区 showcase Community showcase Hacker News：Gemini 4 Argon Hacker News: Gemini 4 Argon Hacker News 2026年9月30日 Sep 30, 2026 https://news.ycombinator.com/item?id=49913571

为什么推荐Why we recommend it 边界：首发仅 Fairwind；官方评测与内部用例数字均为厂商叙述，本库未复跑；AA 速度 N/A；入门价有时效。 Boundary: Fairwind-only at launch; vendor evals and internal-use figures are vendor narration, not re-run here; AA speed is N/A; introductory pricing is time-limited. No subjective ranking beyond the board’s stars field.

核验记录：来源、抓取与截图说明Verification log: sources, checks, and captures

主源是 Google 官方博文与 Artificial Analysis 第三方榜 / 文章，外加 HN 49913571。收录理由：当日 HN 头条级前沿模型（Algolia 1447pts），且晨间未进 Models。不打星以外的主观排名。 （官方页 https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/ ，晚间 Playwright GET HTTP 200） （标题 “Gemini 4 Argon”，Algolia 晚间核对 1447pts，2026-09-30T20:04:37Z / 约 2026-10-01 04:04 CST） HN item 49913571 。Primary sources are Google’s official blog and Artificial Analysis’s third-party board / article, plus HN 49913571. Listing rationale: same-day HN front-page frontier model (1447pts on Algolia) missed by the morning Models pass. (official page https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/ , evening Playwright GET HTTP 200) (title “Gemini 4 Argon”, 1447pts on Algolia at the evening check, 2026-09-30T20:04:37Z / about 2026-10-01 04:04 CST) HN item 49913571 .

要点（官方称 / 社区称）Highlights (vendor / community claims)

  • 官方称：面向长程复杂工作流（软件工程、法律/金融等知识工作、网络防御）；输出上限扩到 1M token。首发仅 Fairwind 受信防御方；入门 API 价 $2/$10（缓存输入 95% off），入门期后 $4/$20。 Vendor claim: built for long-horizon workflows (software engineering, legal/finance knowledge work, cyber defense); output limit raised to 1M tokens. Initial access is Fairwind trusted defenders only; introductory API price $2/$10 (cached input 95% off), then $4/$20 after the introductory period.
  • 官方评测摘录（本库未复跑）：DeepSWE v1.1 77.9%；Vals Index 领先；AutomationBench 51.3%（#1）；LVBench 91.7%；CWE-bench v1 68% 并列第一。页内另有量子算法优化、机房内存优化、C/C++→Rust 迁移等内部用例叙述。 Vendor eval excerpts (not re-run here): DeepSWE v1.1 77.9%; leading on the Vals Index; AutomationBench 51.3% (#1); LVBench 91.7%; CWE-bench v1 68% tied for first. The page also narrates internal uses such as quantum algorithmic optimization, datacenter memory savings, and C/C++→Rust migrations.
  • 第三方 Artificial Analysis（Gemini 4 Argon (High)）：Intelligence Index 53（#8/223），$2/$10、Cache Discount 95%、约 $1.99 / 任务，1M 上下文；速度栏 N/A。公开可用性仍以 Fairwind / 后续扩量公告为准，本库不当成已对人人开放。 Third-party Artificial Analysis (Gemini 4 Argon (High)): Intelligence Index 53 (#8/223), $2/$10, Cache Discount 95%, about $1.99 per task, 1M context; speed listed N/A. Public availability still follows Fairwind / later rollout notices — this library does not treat it as open to everyone yet.

同板相关Related on this board

同一看板上互相关联的卡：社区 demo 指回它跑的模型，模型指向值得看的 demo。Cards linked on this board: a community demo points back to the model it ran on; the model points to demos worth a look.

Reflection Reflection 官方 Official 社区 showcase Community showcase

Beam：Reflection 的 501B 开源权重模型（还不能下载） Beam: Reflection’s 501B open-weight model (not downloadable yet)

Beam: Reflection’s 501B open-weight model (not downloadable yet)

Beam 是 Reflection 在 2026 年 10 月 5 日公开的开源权重模型，给要写代码、做推理、让编程助手干活的人用。它是稀疏混合专家：参数一共 5010 亿，每次真正计算时只用其中 230 亿。现在还不能下载。官网写它还在做最后一轮安全测试（专门找它会不会被带去干不该干的事），眼下只能到平台页登记提前试用；权重、技术报告、模型卡和给开发者的配套，都说这个月晚些时候才放，并打算用 Apache 2.0。页面表格里的分数是厂商自己报的，这里没有复跑。 Beam is Reflection’s open-weight model, announced on 5 October 2026, for people who write code, reason through problems, or hand work to a coding agent. It is a sparse mixture-of-experts model: 501 billion parameters in total, with 23 billion active on each step. It is not downloadable yet. The site says it is still in final safety testing (checking whether it can be talked into doing something it should not), and that early access is a signup only. Weights, the technical report, the model card, and the developer extras are promised later this month, under Apache 2.0. The scores on the page are the vendor’s own numbers and were not re-run here.

厂商公告Vendor announcement 2026年10月5日 Oct 5, 2026 2 官方 · 1 社区 2 official · 1 community
OpenAI OpenAI 官方 Official 社区 showcase Community showcase + 精选 + Featured

GPT-6.1 Sol（OpenAI） GPT-6.1 Sol (OpenAI)

GPT-6.1 Sol (OpenAI)

OpenAI 于 2026-09-29 发布的 GPT-6 Sol 升级款。官方称：在 agentic coding、电脑操作与专业工作上几乎对齐 GPT-6 Astra，标准输入与输出 token 价格约为 Astra 的五分之一。标准 API 价：输入 $2 / 缓存输入 $0.10 / 输出 $10 每百万 token；缓存输入官方称比标准输入少 95%、比 GPT-6 Sol 的缓存输入少 50%。API id：`gpt-6.1-sol`。可用性：Plus / Pro / Business / Enterprise / Edu 的 ChatGPT Work 与 Codex；尚未进入 Chat；API 已可用。Ultrafast 官方称将在随后数日推出，在 Codex 里相对标准速度最高 8 倍 token 生成。第三方榜 Artificial Analysis https://artificialanalysis.ai/models/gpt-6-1-sol（GPT-6.1 Sol (max)，晚间 GET 200）：Intelligence Index 52（#10/222），67.8 tok/s（#107/222），价 $2/$10、Cache Discount 95%、每 Intelligence Index 任务 $0.72，1M 上下文，发布日 2026-09-29。AA 文章称 GPT-6 Sol 在 7 天后被 6.1 Sol 接替，约比 Astra II 低 1 分、每任务成本不到其四分之一。晨间 changelog 把通用 DevDay 新闻排除在 A/B/C 之外、未收本模型（板上只有 gpt-6-astra），晚间补进 Models。 OpenAI’s upgrade to GPT-6 Sol, announced 2026-09-29. Vendor claim: it nearly matches GPT-6 Astra on agentic coding, computer use, and professional work at about one-fifth of Astra’s standard input and output token prices. Standard API price: $2 input / $0.10 cached input / $10 output per million tokens; cached input is claimed 95% less than standard input and 50% less than GPT-6 Sol’s cached input. API id: gpt-6.1-sol. Availability: Plus / Pro / Business / Enterprise / Edu in ChatGPT Work and Codex; not yet in Chat; API is available. Ultrafast is claimed for the coming days, up to 8× faster token generation versus standard speed in Codex. Third-party board Artificial Analysis https://artificialanalysis.ai/models/gpt-6-1-sol (GPT-6.1 Sol (max), evening GET 200): Intelligence Index 52 (#10/222), 67.8 tok/s (#107/222), $2/$10, Cache Discount 95%, $0.72 per Intelligence Index task, 1M context, released 2026-09-29. The AA article says GPT-6 Sol was replaced by 6.1 Sol after 7 days, about 1 point below Astra II at under a quarter of the cost per task. Morning changelog kept generic DevDay news out of A/B/C and did not file this model (the board only had gpt-6-astra); this evening wave adds it to Models.

厂商公告Vendor announcement 2026年9月29日 Sep 29, 2026 2 官方 · 3 社区 2 official · 3 community
OpenAI OpenAI 官方 Official 社区 showcase Community showcase

GPT-6 Astra（OpenAI） GPT-6 Astra (OpenAI)

GPT-6 Astra (OpenAI)

OpenAI 2026-09-03 发布的前沿模型。官方定位：电脑操作、浏览、软件工程、网络安全、科研与专业办公；ChatGPT 内可用 Sites 从一条提示直接生成并托管网站、Web 应用与游戏；API 名 gpt-6-astra。社区侧：YouWare 9 月 8 日发帖称已整理 720+ 条 Astra 社区作品（游戏原型、3D 世界、产品 UI、动效、模拟），附提示词可在 YouWare 复跑。 OpenAI’s frontier model, announced 2026-09-03. Official pitch: computer use, browsing, software engineering, cybersecurity, science, and professional work; in ChatGPT, Sites builds and hosts websites, web apps, and games from one prompt; API name gpt-6-astra. Community side: on 8 Sept YouWare posted that it sorted 720+ community Astra builds (game prototypes, 3D worlds, product UIs, motion, sims), prompts included to replay on YouWare.

厂商公告Vendor announcement 2026年9月3日 Sep 3, 2026 3 官方 · 2 社区 3 official · 2 community
Anthropic Anthropic 官方 Official 社区 showcase Community showcase + 精选 + Featured

Claude Sonnet 5.5（Anthropic） Claude Sonnet 5.5 (Anthropic)

Claude Sonnet 5.5 (Anthropic)

Anthropic 于 2026-09-28 发布的 Claude 5.5 家族第二款模型。官方页正文称：相对 Claude Sonnet 5 为明确升级，生成快 30%+，多数工作花费可低至 30%；价目与 Sonnet 5 同为输入 $2 / 输出 $10 / cache reads $0.20 每百万 token，但因 token 更少所以更便宜。定位为 Opus 5.5 的更快、更低成本补位：擅长边界清晰的日常任务、修 bug、做文档 / 幻灯 / 表格，并写有较锐的设计眼。官方表（列 Sonnet 5.5 / Sonnet 5 / Opus 5.5 / GPT-6 Sol）：Terminal-Bench 4.0 70.6% / 10.3% / 66.4%¹ / —；CursorBench 4.0 55.5% / 34.1% / 57.8% / —；GDPval-AA v2.1 1844 / 1449 / 1846 / 1487⁴。平台模型 id：`claude-sonnet-5-5`；称已在全平台可用（含 AWS / Google Cloud / Azure），零数据保留与 Opus 5.5 / Sonnet 5 相同。第三方榜 Artificial Analysis https://artificialanalysis.ai/models/claude-sonnet-5-5（变体 Adaptive Reasoning, Max Effort, Default Fallback，晚间 GET 200）：Intelligence Index 56，输出速度 138.7 tok/s（#29/216），价 $2/$10、Cache Discount 90%、每任务 $7.60，1M 上下文。晨间目录未收（当日只收 Jeff + HTML），晚间补上。 Anthropic’s second model in the Claude 5.5 family, announced 2026-09-28. The page calls it a clear upgrade over Claude Sonnet 5: 30%+ faster generation and up to 30% less cost for most work, at the same list price as Sonnet 5 — $2 input / $10 output / $0.20 cache reads per 1M tokens — because it typically uses fewer tokens. Positioned as a faster, lower-cost complement to Opus 5.5 for well-scoped everyday tasks, bug fixes, and polished documents, slides, and spreadsheets, with a noted eye for design. Vendor table (columns Sonnet 5.5 / Sonnet 5 / Opus 5.5 / GPT-6 Sol): Terminal-Bench 4.0 70.6% / 10.3% / 66.4%¹ / —; CursorBench 4.0 55.5% / 34.1% / 57.8% / —; GDPval-AA v2.1 1844 / 1449 / 1846 / 1487⁴. Platform model id: claude-sonnet-5-5; the page says it is available on all platforms including AWS / Google Cloud / Azure, with the same zero data retention as Opus 5.5 / Sonnet 5. Third-party board Artificial Analysis https://artificialanalysis.ai/models/claude-sonnet-5-5 (variant Adaptive Reasoning, Max Effort, Default Fallback, evening GET 200): Intelligence Index 56, 138.7 tok/s (#29/216), $2/$10, Cache Discount 90%, $7.60 per task, 1M context. Morning catalog skipped it (Jeff + HTML only); this evening wave picks it up.

厂商公告Vendor announcement 2026年9月28日 Sep 28, 2026 1 官方 · 2 社区 1 official · 2 community
Anthropic Anthropic 官方 Official 社区 showcase Community showcase + 精选 + Featured

Claude Opus 5.5（Anthropic） Claude Opus 5.5 (Anthropic)

Claude Opus 5.5 (Anthropic)

Anthropic 于 2026-09-22 发布的 Claude 5.5 家族第一款模型。官方页正文称：它在多数工作上达到 Claude Fable 5.1 的水平，按典型负载跑起来比 Opus 5 少 40% 花费；meta description 称它在 agentic coding 与知识工作上领先，且比 Opus 5 少 40% 运行成本。官方价目（每百万 token）：输入 $4、输出 $20（称比 Opus 5 少 20%），cache reads $0.20（对照 Opus 5 的 $0.50，称少 60%），cache writes $5（对照 $6.25）；fast mode 为输入 $8 / 输出 $40，称最高 2.5 倍速度。第三方榜：Artificial Analysis 页面（变体 “Adaptive Reasoning, Max Effort, Default Fallback”）列出 Intelligence Index 58（#1 / 211）、输入 $4.00 / 输出 $20.00、缓存折扣 95%、每任务 $5.98、1M 上下文；速度栏为 N/A。 Anthropic’s first model in the Claude 5.5 family, announced 2026-09-22. The page says it performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5 on typical workloads; the meta description says it leads in agentic coding and knowledge work and costs 40% less to run than Opus 5. Vendor price table (per 1M tokens): input $4, output $20 (claimed 20% less than Opus 5), cache reads $0.20 (vs Opus 5 at $0.50, claimed 60% less), cache writes $5 (vs $6.25); fast mode is $8 input / $40 output, claimed up to 2.5× speed. Third-party board: the Artificial Analysis page (variant “Adaptive Reasoning, Max Effort, Default Fallback”) lists Intelligence Index 58 (#1 / 211), $4.00 input / $20.00 output, a 95% cache discount, $5.98 per task, and a 1M context; the speed cell is N/A.

厂商公告Vendor announcement 2026年9月22日 Sep 22, 2026 1 官方 · 2 社区 1 official · 2 community