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Every published item, in order · 162 items
Nov 10
ModelsUS vs ChinaMulti-source08:19
Chinese contentClaude Fable 5.2 (xHigh) 登顶 Code Arena: WebDev 榜首

Anthropic 又发新模型了,Claude Fable 5.2 在 Code Arena 的 WebDev 评测拿了 1832 分,比自家的 Opus 5.5 和 Google 的 Gemini 4 Carbon 都高。关键是价格还降了 20%,速度更快 30%。平时用 Claude 写代码、做网站的朋友可以直接换新版试试。

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lmarena.ai@lmarena_aiSource
ModelsUS vs ChinaMulti-source91°04:23
Chinese contentAnthropic 发布 Claude Fable 5.2 和 Mythos 5.2:能力超 Opus 5.5,API 降价 20%

Anthropic 这次一次发了 Fable 5.2 和 Mythos 5.2 两个高端模型,编程评测分数超过 GPT-6 Astra 和 Gemini 4 Carbon,API 还降价两成。Pro 用户这一周能免费用 Fable,写代码的可以趁机试试它到底比 Opus 5.5 强多少。

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宝玉@doteySource
ModelsUS vs ChinaMulti-source86°03:50
Chinese contentAnthropic 发布 Claude Fable 5.2,登顶 Artificial Analysis 智能指数

Anthropic 的新旗舰模型,科学推理和编程基准刷了一堆纪录,比如 HLE-Diamond 拿到 80%。有意思的是调低 effort 档反而更划算,输出 token 用得更少还能赢 Opus 5.5。做科学计算、代码开发的团队值得看下这笔成本账。

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Official accountArtificial Analysis@ArtificialAnlysSource
ModelsUS vs ChinaMulti-source88°03:17
Chinese contentAnthropic 发布 Claude Fable 5.2:FrontierCode 得 49.1%,API 降至每百万 8/40 美元

编程评测分数超过了 GPT-6 Astra 和 Gemini 4 Carbon,价格还降了两成,写代码的同学可以直接在 Claude Code 里手动切换试试。Pro 用户 16 号前用 Fable 不额外扣钱,别忘了去设置里领那次额度重置。

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宝玉@doteySource
Nov 7
ModelsBuildersMulti-sourceSelected01:14
VIALS-AA leaderboard ranks models on life science visual reasoning

The 29× cost gap between frontier models with a 3-point score spread changes the economics of choosing a model for scientific agent workloads. Teams building lab-automation or biotech analysis tools can use the per-task cost and turn counts to pick models that fit their budgets. The 19-point deficit of open weights models like Kimi K3.1 Pro also marks a concrete ceiling for on-premise deployments.

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Official accountArtificial Analysis@ArtificialAnlysSource
Nov 5
ModelsBuildersMulti-sourceSelected02:23
Agent Arena data shows 66% cost gap in hour-long agent tasks

For hour-long agent workloads, the cheapest model is not automatically the right one: Claude Opus 5.5 scores higher but costs twice as much per hour as Gemini 4 Carbon. Teams running long-horizon agents can use these per-hour cost and time figures to match model choice to budget and quality needs. The 55-minute spread among frontier models also suggests task duration, not just accuracy, should enter model selection criteria.

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lmarena.ai@lmarena_aiSource
ModelsUS vs ChinaMulti-sourceSelected02:22
Gemini 4 Carbon leads cost scaling in Agent Arena data

Cost differences widen precisely on the longest sessions, so the cheapest model for simple tasks is not the cheapest for complex agentic work. Teams running long-horizon agent tasks such as app development can cut bills by re-benchmarking at high task complexity rather than averaging across workloads. The finding also opens the door for Gemini 4 Argon and Xiaomi's MiMo-V2.6 Flash and Pro to challenge OpenAI and Anthropic where budgets are tightest.

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lmarena.ai@lmarena_aiSource
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Oct 27
ModelsBuildersMulti-sourceSelected06:23
Artificial Analysis launches Code2Video-AA video benchmark

The 300x spread in cost per task means the ranking alone is misleading: GPT-6.1 Sol delivers fourth place at 90% less cost than the leader, which changes which model is actually practical for batch video generation. Teams building automated marketing video pipelines can use the five-axis Elo breakdown to match models to their budget and quality needs, and the open-weights results give a concrete quality gap for self-hosting comparisons.

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Official accountArtificial Analysis@ArtificialAnlysSource
Oct 23
ModelsUS vs ChinaSelected06:51
AA-PersonalityBench links model slop to intelligence gaps

Slop output is only loosely tied to raw capability, so model selection for writing or content pipelines should weigh the Slop ranking separately from the Intelligence Index. Teams building customer-facing copy or summarisation tools can use these two scores as a joint filter instead of assuming a smarter model reads better. Qwen3.8 Max ranking high on both lists is a useful data point when weighing it against Gemini 4 Argon or GPT-6 variants.

Official accountArtificial Analysis@ArtificialAnlysSource
Oct 22
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Sep 17
AITOP16:09
Anthropic拟10月在新加坡设亚太第五个办事处 开...

Anthropic拟10月在新加坡设亚太第五个办事处 开放本地招聘 数据显示,按人口比例计算,新加坡的Claude.ai使用水平在121个国家中排名第二。 我们观察到,人工智能公司Anthropic计划于10月在新加坡设立其亚太地区的第五…

AITOPRead
Aug 13
Aug 7
AITOP17:04
出口结构剧变:中国卖给世界的,不再是产品而是解法

中国出口"新新三样":从打火机到爬墙机器人,世界不再只是买便宜货 我们观察到一组清晰的数据信号:中国出口的"新新三样"已经从过去的服装、家具、家电,换成机器人、AI模型和创新药物。这不是产业升级的修辞游戏,而是发生在澳大利亚和巴西的实证样…

AITOPRead
Aug 2