ZK Proof Systems Master Guide: Groth16, PLONK and STARK Comparison 2026
The guide consolidates comparative data on proof size, verification gas costs, and trust assumptions for Groth16, PLONK, and STARK to help developers choose appropriate ZK proof systems.
Arithmetic Circuit Compilation
Developers first translate high-level logic into a constraint system that can be expressed as low-degree polynomials. Groth16 uses Rank-1 Constraint Systems, PLONK adopts a universal circuit representation, and STARK encodes computations as Merkle-root commitments verified via FFT operations. Each framework imposes distinct gate-count and wiring constraints that directly affect prover complexity and overall efficiency.
Trusted Setup Requirements
Groth16 requires a one-time trusted setup that generates toxic-waste parameters; any leakage compromises all future proofs. PLONK also needs a ceremony but provides a universal setup allowing a single proving key to serve many circuits. STARK eliminates this step entirely by relying on hash-based commitments, making the trust model transparent and post-quantum safe.
Verification Cost Comparison
On Ethereum mainnet, verifying a Groth16 proof consumes approximately 350 k gas units, PLONK reduces this to about 300 k, while STARK verification jumps to roughly 600 k. These numbers dictate the economic feasibility of each system for high-throughput rollups versus privacy-preserving payment channels where verification cost is a critical parameter.