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#Model releases

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10/1Thu
9/30Wed
  1. Habr · Codex76

    OpenAI releases GPT-6.1 Sol, with API pricing at roughly one-fifth of Astra's

    OpenAI has released GPT-6.1 Sol for coding, document processing, and task automation. The company says it comes close to GPT-6 Astra on some tests. On DeepSWE 1.1, a benchmark of real-world codebase tasks, the model matches Astra while costing about one-fifth as much to run. On OSWorld 2.0, which tests app control, it beats GPT-6 Sol by 7 percentage points at the highest reasoning tier.

    Why it matters: GPT-6.1 Sol matches Astra on DeepSWE 1.1 at roughly one-fifth the cost, which gives you a sense of how the price-performance tradeoff for coding tasks has shifted.

9/29Tue
  1. Tproger · Программирование88

    OpenAI 在 DevDay 发布 GPT-6.1 Sol,价格仅为 Astra 的五分之一

    OpenAI 在 9 月 29 日旧金山 DevDay 上发布 GPT-6.1 Sol,API 名为 gpt-6.1-sol,定价为每百万输入 token 2 美元、输出 10 美元,缓存输入 0.10 美元,标准价格是 GPT-6 Astra 的五分之一。

    Awaiting translation

    Why it matters: OpenAI DevDay 发布 GPT-6.1 Sol,价格降至 Astra 的五分之一,并同步更新 Codex、Agents API 与插件体系,可据此判断成本与工具链变化。

9/23Wed
  1. Tproger · Программирование80

    Anthropic Releases Flagship Model Claude Opus 5.5

    On September 22, Anthropic released its flagship model Claude Opus 5.5, aimed at developers and teams who want agents to handle multi-step tasks like coding and data analysis. The company says it delivers better performance and lower cost than Opus 5.

    Why it matters: Anthropic's published pricing and the default workload cost reduction help developers estimate the migration cost for long-running agent tasks.

9/22Tue
  1. Sebastian Raschka72

    小米发布开源权重模型 MiMo-V2.6-Pro,在 Artificial Analysis 智能指数上以 46 分成为开源权重模型第一,每任务成本 0.13 美元,输入 0.435 美元/1M tokens、输出 0.87 美元/1M tokens,采用 1.02T 总参数、42B 激活参数的 MoE 架构。

    Awaiting translation

    QuotedArtificial Analysis@ArtificialAnlys

    MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier @Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro (Intelligence Index: 26). Despite the improvement, it retains the same attractive pricing at $0.435 per 1M input tokens (with a 99% cache-hit discount) and $0.87 per 1M output tokens. This makes MiMo-V2.6-Pro one of the most cost-efficient models to deploy. MiMo-V2.6-Pro is an MoE model with 1.02T total parameters and 42B active parameters. Stay tuned for additional analysis of the model. Check out MiMo-V2.6-Pro full benchmarking breakdown here: https://artificialanalysis.ai

8/11Tue
6/10Wed
  1. Andrej Karpathy75

    Andrej Karpathy 评价 Claude Fable 5 发布,指出它与 Mythos 是同一底层模型,只是增加了安全防护,在几乎所有基准上以明显优势达到 SOTA。

    Awaiting translation

    QuotedClaude@claudeai

    Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision. The longer and more complex the task, the larger Fable 5’s lead over our other models.