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模型Artificial Analysis · X转述· @ArtificialAnlys·· 1 小时前

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Artificial Analysis 报告称,Inkling 2 Small 在其智能指数中得分为 31

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Artificial Analysis
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发生了什么

Artificial Analysis 报告称,Thinking Machines 已发布 Inkling 2 Small,该模型在 Artificial Analysis Intelligence Index v5.0.1 上得分为 31,并作为专有模型通过 Tinker 和 Tinker Playground 提供。报告称,其得分比 Inkling Small 高 18 分,每项任务的输出 token 数量约为其四倍;计划于日后以 Apache 2.0 许可证发布模型权重,但具体时间尚未确认。

接下来读什么

查看这件事的完整进展Thinking Machines 推出 Inkling 2 Small,并在 Tinker 上提供该模型
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Thinking Machines has released Inkling 2 Small, scoring 31 on the Artificial Analysis Intelligence Index - their plan to release its weights would make it the highest-scoring open weights model developed outside China based on current rankings

Inkling 2 Small is launching as a proprietary model, available first-party through @thinkymachines' Tinker platform and Tinker Playground, with weights to be released at a later date. Its score is up 18 points from Inkling Small, with ~4x as many output tokens per task. It matches @GoogleDeepMind's Gemini 3.8 Flash (high) and surpasses @XiaomiMiMo's MiMo-V2.6-Pro on the Artificial Analysis Intelligence Index v5.0.1.

Key takeaways:

➤ Large gains over Inkling Small, especially on agentic tasks: AutomationBench-AA rises from 5% to 46% and FrontierCode 2.0 from 5% to 25%. HLE-Diamond also rises from 12% to 29%.

➤ Different coding strengths from Claude Sonnet 5.5 (medium): Inkling 2 Small scores 25% on FrontierCode 2.0 vs. 11% for Claude Sonnet 5.5 (medium), but 13% on Terminal-Bench 4.0 vs. 30%.

➤ Creative agentic scores above Claude Haiku 5.5 and Grok 4.7 on AA-3D: Inkling 2 Small also scores above Gemini 3.8 Flash on both AA-3D and Code2Video-AA, but behind Claude Sonnet 5.5 on both.

➤ Research-level physics improves, but trails Gemini 3.8 Flash (high): Inkling 2 Small scores 56% on CritPt v2, up from 34% for Inkling Small, vs. 65% for Gemini 3.8 Flash (high).

➤ Fewer hallucinations from more selective answering: On AA-Omniscience v1.1, the hallucination rate falls from Inkling Small's 61% to 27%, while accuracy rises from 32% to 34% and the attempt rate falls from 77% to 53%.

➤ ~4x as many output tokens: Inkling 2 Small averages ~150K output tokens per Intelligence Index task vs. ~37K for Inkling Small, ~31K for Claude Sonnet 5.5 (medium), and ~99K for Gemini 3.8 Flash (high).

➤ Almost 6x the cost of Inkling Small, but cheaper than several other models with similar Intelligence Index scores: Inkling 2 Small costs $1.18 per Intelligence Index task vs. $0.20 for Inkling Small, $7.77 for Gemini 3.8 Flash (high), and $10.02 for Claude Sonnet 5.5 (medium).

Key model details:

➤ Type: Proprietary reasoning model at launch; Apache 2.0 weights release planned (date unconfirmed)

➤ Modalities: Text and image input, text output

➤ Size: 594B total parameters / 17B active parameters

➤ Pricing: $0.30/$1.00 per 1M input/output tokens ($0.03 per 1M cached input tokens)

➤ Availability at launch: Tinker and Tinker Playground

Congratulations to the team at @thinkymachines on the release!

这件事到目前为止

Thinking Machines 推出了 Inkling 2 Small。该模型在 Artificial Analysis Intelligence Index 上得分为 31,并可在 Tinker 上用于微调和推理。Thinking Machines 表示,该模型的完整权重即将推出。 Artificial Analysis 报告称,该分数比 Inkling Small 高 18 分,且 Inkling 2 Small 每项任务使用的输出 token 数量约为其四倍。该机构称,该模型在 Tinker 和 Tinker Playground 上为专有模型,并表示计划在之后发布采用 Apache 2.0 许可证的权重,具体日期尚未确认。

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