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Anthropic releases FlashProve prototype for verifiable AI inference

Anthropic has released FlashProve, an open-source research prototype designed to prove that a response came from a committed model without revealing its weights.

2 min readAI RadarSource: Anthropic — Progress on provable inference for large language models
AI Radar cover illustration for Anthropic releases FlashProve prototype for verifiable AI inference

AT A GLANCE

Key points

  • FlashProve is designed to verify inference origin without revealing model weights.
  • Anthropic reported roughly 110 tokens per second and a 19 MB proof on Llama 4 Maverick.
  • The code, protocol and Lean proofs were released under Apache 2.0.

What is changing?

Anthropic released FlashProve, a research prototype designed to verify that an AI response was produced by a specified model without exposing the model’s weights. The November 2 work aims to make it cryptographically auditable that a provider did not substitute a cheaper system or that an attacker did not tamper with the output stream.

In Anthropic’s reported test on Llama 4 Maverick, a single H100 GPU generated proofs at roughly 110 tokens per second using 4-bit quantized weights. The proof for a 1,024-token request was about 19 MB, while proof generation required roughly 70–95 times the GPU time of ordinary inference with vLLM.

Anthropic released a technical report, protocol description, C++ and Lean verifiers, executable code and Lean proofs for top-level security statements under Apache 2.0. FlashProve is not a finished product: the company describes it as intermediate research progress, and the performance results have not been independently validated in production environments.

Explore the original sources

Source date: 2 November 2026.
Published by AI Radar: 3 Nov 2026, 09:07 (Istanbul, UTC+3).

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