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What ChatGPT, Claude, Gemini & Grok actually say · July 2026

The verdict

Scroll appears in 1 AI-ranked category — best position #3 for zk rollup.

#3🧮 Best ZK rollup4/4 models · updated 2026-06-25
GPT #3Claude #3Gemini #3Grok #4

The cleanest choice for Ethereum developers prioritizing bytecode-level EVM compatibility, familiar tooling, Ethereum data availability, transparent zkEVM architecture, and comparatively easy contract migration

Claude Bytecode-level EVM equivalence (Type 2), fully open-source, and a genuinely clean drop-in for existing Solidity contracts and tooling with strong engineering credibility; the pick when exact EVM behavior and auditability outrank ecosystem size. Near-tie with #4.

Gemini Type 2 zkEVM offering bytecode-level EVM equivalence and deep alignment with Ethereum's core philosophy. It shares a near-tie with Linea due to equivalent EVM tooling compatibility, but ranks higher for practitioners prioritizing pure Ethereum alignment.

Grok Strong focus on modular zkEVM design with high performance and developer accessibility, competitive fees/finality, and traction in experimental/AI-integrated dApps; reliable validity proofs with growing ecosystem.

Where Scroll falls short, per the models

  • GPT A centralized sequencer and smaller liquidity and application base reduce resilience and immediate usefulness versus the leaders
  • Claude Smaller ecosystem/TVL and higher per-tx proving cost than the leaders, with a still-centralized sequencer — not for teams that need deep existing liquidity or maximal cost efficiency.
  • Gemini High proof-generation overhead makes transaction fees higher and finality slower compared to compiler-optimized or non-EVM rollups.
  • Grok Lower TVL/ecosystem maturity than top 3, making it less ideal for apps needing maximum liquidity or battle-tested network effects.

Top alternatives per the models: Starknet · zkSync Era · Linea · Polygon zkEVM

Rankings are computed from what the models answer, re-polled continuously · raw reasoning shown verbatim · methodology