zkML Proof Generation Costs: Benchmark Analysis 2026

Frequently Asked Questions

01.01. What is zkML proof generation cost?

zkML proof generation cost refers to the total compute spend required to produce a cryptographic zero-knowledge proof that an AI model inference was executed correctly. This cost includes GPU or CPU time for constraint witness generation, ZK circuit compilation overhead, and any memory provisioning charges. Costs range from roughly $0.001 for a linear regression proof using EZKL on CPU to several dollars for large transformer inferences, depending on model complexity and the proving backend selected.

02.02. How does on-chain zkML gas cost compare across frameworks?

On-chain verification gas costs vary significantly by proof system. Groth16-based frameworks such as Circom with snarkjs produce the cheapest on-chain verifiers, typically consuming 220,000 to 280,000 gas per proof on Ethereum mainnet. EZKL using Halo2 KZG commitments requires more pairing operations, running 173 times higher verification cost than a Groth16 reference. Risc0 wraps its STARK output in a Groth16 SNARK for on-chain submission, bringing gas costs to approximately 250,000 to 350,000 gas. At current gas prices this means roughly $0.05 to $0.25 per on-chain verification depending on network congestion.

03.03. When is zkML cost-viable for enterprise deployments?

zkML becomes cost-viable when the business value of a verified inference exceeds total proof cost, which typically occurs in three scenarios: high-stakes automated decisions such as on-chain credit scoring where a wrong outcome costs more than $50, regulatory compliance contexts where MiCA or DORA audit trails require model output provenance, and DeFi automation where a verifiable AI rebalancing signal prevents manipulation losses exceeding proof cost. For inference that is purely informational or low-stakes, optimistic zkML with challenge-window verification reduces cost by 90 percent or more.