Thinking Machines Releases Inkling-Small, Outperforms Larger Model
Thinking Machines Lab's second open-weight model needs a quarter of its predecessor's active parameters yet edges past it on reasoning and coding benchmarks.
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Every AI News story tagged with both Artificial Intelligence and Mixture of Experts (MoE) — the two topics side by side, updated as new articles publish.
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Thinking Machines Lab's second open-weight model needs a quarter of its predecessor's active parameters yet edges past it on reasoning and coding benchmarks.
Read more →DeepSeek's official V4-Flash-0731 release outperforms its larger V4-Pro model on coding and agent benchmarks, despite activating far fewer parameters per token.
Read more →Ant Group's Ling-3.0-Flash matches models several times its size on reasoning and coding benchmarks using just 5.1 billion active parameters, the company says.
Read more →Beijing-based Moonshot AI has published the full open weights for Kimi K3, a 2.8-trillion-parameter model it calls the largest open model released to date.
Read more →Poolside's new 118-billion-parameter Laguna S 2.1 matches or beats far larger rivals on agentic coding benchmarks and ships under an open license.
Read more →China's Moonshot AI released Kimi K3, a 2.8-trillion-parameter open model with a 1-million-token context window — a system the company calls the world's first open 3-trillion-class AI model.
Read more →Mixture of Experts (MoE) lets an AI model hold hundreds of billions of parameters while activating only a fraction of them per query — the main reason some huge models are also cheap to run.
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