AI & Agents

오픈 웨이트 LLM과 폐쇄형 LLM의 격차

Last updated 2026-06-28 · benchmark measured 2026-08-09 — deterministic & reproducible

Low-cost AI inference API for open-weight LLMs with flexible delivery windows.

Is 오픈 웨이트 LLM과 폐쇄형 LLM의 격차 production-ready?

Legit.Show scores 오픈 웨이트 LLM과 폐쇄형 LLM의 격차 67 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on 오픈 웨이트 LLM과 폐쇄형 LLM의 격차 (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Discoverability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

• Performance — 60/100
• Accessibility — 86/100
• Security — 65/100
• Privacy — 0/100
• Reliability — 67/100
• Standards — 92/100
• Discoverability — 100/100

What we measured

• Security headers present: HSTS, X-Content-Type-Options, Referrer-Policy.
• No Content-Security-Policy.
• Served over HTTPS with a valid certificate.
• Real Lighthouse performance run — 2097 ms to first byte.
• 0 of 0 sampled routes reachable.
• No privacy policy found.
• Sets cookies / loads scripts with no consent prompt.
• Discoverable: structured data, sitemap, OpenGraph image, canonical URL.

Who it's for

AI engineers · Backend developers · Data scientists · ML teams · AI product builders

Pricing

Variable per-token rates by model; DeepSeek-V4-Pro at $1.31/$2.75 (input/output), batch $1.05/$2.20; Qwen models from $0.03-$0.30; up to 80% discount for overnight batch processing

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