zkML Proof Generation Costs: Benchmark Analysis 2026

Frequently Asked Questions

01.How much does it cost to generate a zkML proof in 2026?

Proof generation costs vary widely by model size and prover framework. Simple linear regression proofs on EZKL run in under 0.12 seconds on commodity hardware. For larger models, GPU-accelerated proving on an NVIDIA A100 can cost between USD 0.02 and USD 0.50 per proof depending on circuit complexity and cloud instance rates. On-chain verification adds a fixed Ethereum gas cost of roughly 200,000 to 600,000 gas units per proof, which at current mainnet prices translates to approximately USD 3 to USD 18 per verification call.

02.What is the difference between EZKL, RISC Zero, and Noir for zkML?

EZKL is purpose-built for ML inference using Halo2 circuits and significantly outperforms RISC Zero on standard inference workloads while using a fraction of the memory. RISC Zero is a general-purpose zkVM that supports arbitrary Rust programs, making it more flexible but considerably heavier for pure inference tasks. Noir is a domain-specific language for ZK constraint development, better suited for privacy logic than full model proving. For production zkML, EZKL is the recommended choice for inference proving while Noir fits constraint-logic use cases.

03.Can I start with a zkML MVP before committing to a full build?

Yes. A zkML MVP typically involves proving a single lightweight model such as a linear regression or small neural network, deploying a verifier contract on a testnet, and validating end-to-end latency and gas cost before full integration. Projects of this scope typically require 4 to 6 weeks and a budget ranging from USD 40,000 to USD 80,000 depending on prover optimization depth and audit requirements.