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Thinking Machines Open-Sources Multimodal Model Inkling, Comprehensive Performance Comparison
Thinking Machines Open-Sources Multimodal Model Inkling, Comprehensive Performance Comparison
 meng shao@shao__meng
美国开源模型 +1
来自 Thinking Machines (OpenAI 前 CTO @miramurati 的团队) 开源发布多模态模型 Inkling，975B/A41B MoE 架构 huggingface.co/thinkingmachin…
在开源模型中的位置
· 强于 Nemotron 3 Ultra、Kimi K2.5
· 与 Kimi K2.6 / DeepSeek V4 Pro 互有胜负：Inkling 在 IFBench、FORTRESS、SWEBench Verified 略胜；在 HLE、SimpleQA、Terminal Bench 略输
· 整体略弱于 GLM 5.2：GLM 5.2 在 HLE、AIME、SWEBench Pro、Terminal Bench、MCP Atlas、Tau 3 都更强，是当前开源组的"事实王者"
与闭源模型的差距
· 在 agentic coding / 综合推理 / 事实性 上，Claude Fable 5 和 GPT 5.6 Sol 明显领先一代（SWEBench Verified 95% vs 77.6%，HLE-with-tools 64.5% vs 46%，SimpleQA 71.6% vs 43.9%）
· 在 指令遵循 + 不过度拒绝 上，Inkling 反超部分闭源（IFBench 79.8% > Claude 63.5%；FORTRESS Benign 95.9% >> Claude 55.1%）Show More
#### Thinking Machines
@thinkymachines · 10h ago
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/introduci…
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵Show More
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One Sentence Summary
Thinking Machines, founded by former OpenAI CTO Mira Murati, releases the open-source MoE model Inkling with 975B parameters. The author provides a detailed comparison with mainstream open-source and closed-source models.
Summary
Thinking Machines has officially open-sourced the Inkling multimodal model (975B A41B MoE). According to the author's benchmark comparison: Inkling outperforms Nemotron 3 Ultra and Kimi K2.5, trades wins and losses with Kimi K2.6 / DeepSeek V4 Pro, and is overall slightly weaker than GLM 5.2; it surpasses some closed-source models in instruction following but still lags significantly behind Claude Fable 5 and GPT 5.6 Sol in agentic coding and factuality.
AI Screening
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Influence Score 1
Published Today
Language
Chinese
Tags
Inkling
Thinking Machines
Open-Source Model
Multimodal
MoE
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