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FlashProve

Anthropic released FlashProve, an open-source research prototype that uses zkSNARK proofs to show a model response came from committed hidden weights, with proving at 110 tokens per second on Llama 4 Maverick.

Providers publish a short commitment to an exact set of weights, and each prompt and response pair gets a proof that anyone can check on a CPU without the weights. The prover uses Maverick's mixture-of-experts structure, so work scales with about 17 billion active parameters and expert choices stay hidden. It is a software-only design that does not rely on trusted hardware.

Date
Monday 2 November 2026
Lab
Anthropic
Kind
infra
Access
research preview

Figures

MeasureValueMeasured by
Proof generation speed, Llama 4 Maverick110 tokens per second
reported by Anthropic
company
Batch of 24 requests proved on one H100 with 24 CPU coresabout 223 seconds
4-bit conversion of the model
company
Proof size per request18.78 MBcompany
Verification time17 s with 24 threads, 21 s with one thread
CPU only, about 6.5 MB commitment
company
Proving cost versus FP8 vLLM on eight H100sabout 72x per-GPU time, about 94x at highest vLLM load testedcompany

Code is under Apache 2.0 but labeled an unmaintained research artifact (v0.16.0), with no independent audit, 1,024 token context limit, and greedy decoding only.

Sources

  1. unite.ai/anthropic-releases-flashprove-for-cryptographic-ai-inference-proofs/

This record was partly confirmed: some claims could not be checked on 3 November 2026. How we check

Read the daily brief for 2 November 2026