Moonshot’s Kimi K3 beats Fable 5

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🇨🇳 Moonshot Launches Kimi K3

Chinese AI startup Moonshot has unveiled Kimi K3, an open-weight model that reaches new performance highs for Chinese and open-source AI while competing with leading frontier models at comparable pricing.

The Decode:

Frontier-Level Performance -  Kimi K3 features a 1M-token context window and outperforms Claude Fable 5 and GPT-5.6 Sol on benchmarks covering web research, spreadsheet tasks, frontend design, and long-form coding.

Benchmark Gains - The model scored 57 on Artificial Analysis' Intelligence Index, trailing only Claude Fable 5 (60) and GPT-5.6 Sol (59) while improving by double-digit positions over K2.6.

Long-Running Demo - In one demonstration, K3 independently spent 48 hours designing and verifying a small chip capable of running a miniature version of itself, reaching 8,700 tokens per second in simulation.

Open Release Planned - Moonshot priced K3 at $3/$15 per million tokens, matching Claude 5 Sonnet, and said the model's open weights will be released by July 27.

Kimi K3 narrows the gap between open-weight and frontier AI models while reinforcing China's growing position in open-source AI development with a high-performing model available for broader developer use.

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🧠 Thinking Machines Launches Inkling

Thinking Machines Lab has unveiled Inkling, its first open-weight multimodal model, focusing on customization, efficiency, and developer flexibility instead of competing solely on benchmark rankings.

The Decode:

First Open Model - Inkling is a 975B-parameter Mixture-of-Experts model with 41B active parameters, a 1M-token context window, and native support for text, images, and audio.

Built For Customization - Developers can fine-tune Inkling through Tinker or download it from Hugging Face, with the company positioning customization as its primary advantage over raw benchmark performance.

Efficiency Controls - Inkling features a controllable thinking effort setting that balances reasoning quality with cost, matching Nvidia's Nemotron 3 Ultra on one coding benchmark while using one-third the tokens.

Developer-Focused Strategy - Thinking Machines also introduced Inkling-Small and demonstrated the model using Tinker to fine-tune itself, highlighting its emphasis on practical customization for real-world workflows.

Rather than chasing benchmark leadership, Thinking Machines is positioning Inkling as an open, customizable foundation model. The launch adds a new U.S.-based option to the open-weights ecosystem, giving developers another alternative for building specialized AI applications.

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