AI Agent Evaluations for Next.js (Next.js Evals)
We show this table for reference; we do not rank on it.
A Vercel benchmark for AI coding agents on Next.js code generation and migration tasks, reporting success rate, average execution time, and an AGENTS.md documentation-assisted split.
Success rate on Next.js Evals — June 1, 2026
We mirror the published success rate view for Next.js Evals. Composer 2.5 leads the public snapshot at 92%, followed by Claude Opus 4.8 (88%) and GPT-5.5 Pro (83%). We do not use these results to rank models overall.
Composer 2.5
Cursor
Claude Opus 4.8
Anthropic
GPT-5.5 Pro
OpenAI
18 modelsCodingCurrentDisplay onlyUpdated June 1, 2026
Success rate table (18 models)
ScoreHow Next.js Evals is shown here
BenchLM mirrors the public Next.js Evals agent leaderboard from Vercel. The source evaluates 18 model and coding-agent harness rows on 24 Next.js code generation and migration tasks, reporting base success rate, average duration, and a separate success rate when agents have bundled Next.js documentation through AGENTS.md.
Next.js Evals is display only on BenchLM. It is useful for framework-specific web development work, but each row combines a base model with a coding-agent harness such as Cursor, Claude Code, Codex, Gemini CLI, or OpenCode, so BenchLM keeps it out of weighted model-only rankings.
Snapshot
The published Next.js Evals snapshot places Composer 2.5 first at 92%. The third row is 9.0 points behind. The broader top-10 range is 17.0 points, so the table still separates the published systems.
18 models have been evaluated on Next.js Evals. The benchmark falls in the Coding category. Next.js Evals is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Next.js Evals
Year
2026
Tasks
24 Next.js code generation and migration tasks
Format
Agent task completion with withheld Vitest assertions
Difficulty
Framework-specific web application engineering
Next.js Evals focuses on framework-specific web engineering tasks such as Pages Router to App Router migration, server actions, cache directives, proxy middleware, async cookies and headers, and other current Next.js patterns. BenchLM mirrors the public leaderboard as display-only because rows combine model choice with an agent harness.
Freshness and provenance
Version
Next.js Evals 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public tasks with withheld Vitest assertions
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Next.js Evals measure?
A Vercel benchmark for AI coding agents on Next.js code generation and migration tasks, reporting success rate, average execution time, and an AGENTS.md documentation-assisted split.
Which model leads the published Next.js Evals snapshot?
Composer 2.5 currently leads the published Next.js Evals snapshot with 92% success rate. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Next.js Evals?
The June 1, 2026 snapshot contains 18 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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