ModelsAgree
← All leaderboards

Starknet

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

Visit starknet.io

The verdict

Starknet appears in 2 AI-ranked categories — best position #2 for zk rollup.

Positioning brief — for the Starknet team

Why the models put Starknet at #2 for zk rollup

  • STARK security with no trusted setup GPT · Claude · GrokSTARKs with no trusted setup, quantum-resistant
  • native account abstraction GPT · Claude · Gemininative account abstraction
  • extreme computational scalability GPT · Claude · Gemini · Grokextreme computational scalability
  • compute-heavy and high-volume applications Gemini · Grokideal for compute-heavy dApps like on-chain gaming

What the models credit ZKsync Era (#1) with — and don’t credit Starknet

  • mature EVM-compatible zkEVM Claude · Grok · GPTmature EVM-compatible zkEVM
  • largest ecosystem by TVL and app count Claude · GrokLargest ZK-rollup ecosystem by TVL and app count
  • proven path to launch ZK chains Claude · Geminia proven path to launch their own ZK chains with shared interop

What would move the rank — the models’ fix lines, unified

  • Cairo language learning curve GPT · Claude · Gemini · GrokCairo language learning curve deters some EVM-native developers
  • Solidity teams must rewrite GPT · Claude · GeminiSolidity teams must rewrite or lean on Kakarot/compatibility layers
  • not for drop-in EVM migration GPT · Claude · Gemini · Groknot for a drop-in EVM migration

Restructured from verbatim model output · nothing invented · every quote machine-verified

#2🧮 Best ZK rollup4/4 models · updated 2026-06-25
GPT #1Claude #2Gemini #2Grok #3

Best overall for ZK-native applications: production-proven STARK security, excellent scaling economics, native account abstraction, mature Cairo tooling, and credible progress toward decentralized sequencing; narrowly beats ZKsync Era where EVM portability is not essential

Claude Best-in-class proving stack — STARKs with no trusted setup, quantum-resistant, and the highest proof throughput/efficiency of the majors — plus native account abstraction and a serious decentralization roadmap; the strongest choice when raw ZK performance and cryptographic soundness matter most.

Gemini A non-EVM ZK-rollup using Cairo VM and STARK proofs to deliver extreme computational scalability, native Account Abstraction, and sub-second preconfirmations, making it ideal for compute-heavy dApps like on-chain gaming.

Grok Superior throughput and security via STARK proofs (no trusted setup vulnerabilities), excels in complex/high-volume apps like derivatives, robust Cairo ecosystem for secure scaling, and growing Bitcoin/Eth integration appeal.

Where Starknet falls short, per the models

  • GPT Cairo and its non-EVM execution model impose meaningful migration and learning costs for Solidity teams
  • Claude Runs the Cairo VM, not the EVM, so Solidity teams must rewrite or lean on Kakarot/compatibility layers; steepest learning curve of the group and not for a drop-in EVM migration.
  • Gemini Complete lack of EVM compatibility forces developers to learn Cairo and rebuild their entire developer stack from scratch.
  • Grok Cairo language learning curve deters some EVM-native developers; not the easiest for rapid prototyping compared to full zkEVMs.

Poll history — On this board 2 of 2 polls since Jun 25 · now #2

#3#2

Top alternatives per the models: ZKsync Era · Scroll · Linea · Polygon zkEVM

#4💠 Best Ethereum L23/4 models · updated 2026-07-14
GPT #4Claude #5Gemini #4Grok

Powerful validity-proof architecture, Ethereum-posted data, account abstraction, high potential throughput, and Cairo’s performance-oriented design make it the strongest differentiated ZK option

Gemini Offers native, protocol-level account abstraction (enabling seamless session keys and gas sponsorship) and high computational scalability via ZK-STARK proofs, making it excellent for performance-intensive applications like gaming.

Claude The strongest cryptographic foundation (STARK proofs, no trusted setup), excellent scalability headroom, native account abstraction, and Cairo's ability to express things the EVM cannot — a merit pick for teams pushing performance and novel onchain logic.

Where Starknet falls short, per the models

  • GPT Cairo and Starknet-specific tooling impose substantially more migration and learning friction than EVM-compatible networks, with a smaller liquidity and application base
  • Claude Cairo is not EVM-compatible, forcing a full rewrite and a new toolchain/talent pool, which is a steep adoption cost and shrinks its ecosystem versus EVM L2s — not for teams porting existing Solidity or wanting instant EVM tooling.
  • Gemini Uses a non-EVM execution environment (Cairo), which creates a steep learning curve and separates developers from standard Ethereum developer tooling.

Top alternatives per the models: Arbitrum · Base · Optimism · zkSync Era

Head-to-head — how the models call it

Watch Starknet

Boards re-poll weekly and the models change their minds. One short email only when Starknet's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

Embed your ranking badge

Starknet ranks #2 for best zk rollup by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.

Starknet — ranked #2 for Best ZK rollup by AI models on ModelsAgree
Markdown (README)
[![Starknet — ranked #2 for Best ZK rollup by AI models on ModelsAgree](https://modelsagree.com/badge/starknet.svg)](https://modelsagree.com/best/best-zk-rollup?utm_source=badge&utm_medium=embed&utm_campaign=badge-starknet)
HTML
<a href="https://modelsagree.com/best/best-zk-rollup?utm_source=badge&utm_medium=embed&utm_campaign=badge-starknet"><img src="https://modelsagree.com/badge/starknet.svg" alt="Starknet — ranked #2 for Best ZK rollup by AI models on ModelsAgree" height="28"></a>

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