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Open-Weights Frontier

Open-weight models closing the gap with closed frontier labs to under 6 months.

First observed 2023-02-241,455 signals

Trend Dynamics

Updated daily
Velocity
+71
Maturity
44
Signals
1,455
All-time observed

Definition

The open-weights frontier is the rolling subset of publicly downloadable model weights whose benchmark performance is within one generation of the best closed model available.

Why It Matters

A closing open-weights gap caps how much rent any closed lab can extract per token, and shifts defensibility from model quality to distribution, data, and deployment.

Signals Feeding This Trend

  • New open-weight releases36%
    release
  • Open-vs-closed benchmark deltas31%
    benchmark
  • License changes on model weights18%
    policy
  • Hugging Face download velocity15%
    distribution

Companies Involved

  • Meta
  • Mistral
  • DeepSeek
  • Qwen (Alibaba)
  • Cohere
  • AI2
  • NVIDIA

Timeline

  1. 2023-02

    LLaMA leaks; ecosystem of derivatives explodes.

  2. 2024-04

    Llama 3 launches with permissive license at near-GPT-4 quality.

  3. 2025-01

    DeepSeek R1 releases reasoning at frontier quality with MIT-style license.

Predictions

  • 12 monthshigh confidence

    A non-US lab ships an open-weight model that wins a major frontier benchmark outright.

Related Trends

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