Compare/Structured Output Benchmark vs Windsurf

AI tool comparison

Structured Output Benchmark vs Windsurf

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

S

Developer Tools

Structured Output Benchmark

The benchmark that tests whether LLMs get JSON values right, not just syntax

Ship

75%

Panel ship

Community

Free

Entry

Interfaze's Structured Output Benchmark (SOB) exposes a gap that has been quietly breaking production AI pipelines: models can produce syntactically valid JSON while getting the actual values wrong. SOB measures value accuracy across 21 models using 5,000 text passages, 209 OCR documents, and 115 meeting transcripts — scoring each on seven metrics including value accuracy, faithfulness (grounding vs. hallucination), type safety, and perfect-response rate. The benchmark reveals some sobering findings. Even top models like GPT-5.4 and Claude Sonnet 4.6 achieve ~83% on text but drop to 67% on images and only 23.7% on audio. No single model dominates all modalities — GPT-5.4, GLM-4.7, Qwen3.5-35B, and Gemini 2.5 Flash cluster within one point of each other on text. Perfect response rates (all seven metrics correct) rarely exceed 50% for even the best performers. For developers building data extraction pipelines, agents that read invoices, or any system where "correct JSON" means more than syntactically valid JSON, this is required reading. The dataset is on Hugging Face, the paper is on arXiv, and the playground lets you test your own model's structured output capability directly.

W

Developer Tools

Windsurf

AI-native IDE by Codeium — Cascade agentic flow

Ship

67%

Panel ship

Community

Free

Entry

Windsurf is Codeium's AI-native IDE featuring Cascade — a multi-step agentic coding flow that reads your entire codebase, plans changes, and executes autonomously across files. The free tier includes generous AI usage limits, making it the most accessible alternative to Cursor. Cascade handles multi-file refactors, test generation, and dependency management. Strong for solo developers and teams evaluating AI IDEs without committing to paid tiers. Panel verdict: 2/3 Ship.

Decision
Structured Output Benchmark
Windsurf
Panel verdict
Ship · 3 ship / 1 skip
Ship · 2 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free
Free / $15/mo Pro
Best for
The benchmark that tests whether LLMs get JSON values right, not just syntax
AI-native IDE by Codeium — Cascade agentic flow
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

This is the benchmark I've been waiting for. 'Valid JSON' is table stakes — the real question is whether field values are correct. This plugs a genuine gap in how we evaluate extraction pipelines.

80/100 · ship

The free tier is absurdly generous. Cascade handles multi-file refactors well and the codebase indexing is fast. If you can't justify $20/mo for Cursor, Windsurf is the answer.

Skeptic
45/100 · skip

The 23.7% audio accuracy stat sounds alarming but the test data is text-normalized before scoring, meaning ASR errors are excluded. It's a better benchmark than most but the methodology choices deserve more scrutiny before you rely on it for vendor selection.

45/100 · skip

Close but not quite Cursor-level. The agent sometimes loses context on larger codebases and the autocomplete is a step behind. You get what you pay for — and free has limits.

Futurist
80/100 · ship

No universal winner across modalities is the real story here. As agentic systems increasingly handle mixed-media inputs, this exposes that model selection needs to be task-specific. Benchmarks like SOB are how the industry gets smarter about that.

80/100 · ship

Codeium is playing the distribution game — get developers hooked for free, then upsell. It's working. They're building the Firefox to Cursor's Chrome.

Creator
80/100 · ship

For anyone automating content workflows that extract structured data from documents, briefs, or meeting recordings, this tells you which model to actually trust for each media type. Genuinely useful before you commit to an architecture.

No panel take

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