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Vilinski: decision models compared on accuracy, cost and speed

Interactive comparison of 21 decision models, with direct-provider and OpenRouter routes measured separately on 1,100 public jev-bench items. The charts plot accuracy against benchmark cost, official prices and median latency, with Jev 1.13 and 1.14 measured separately.
Format
Article
Reading time
2 min
Published by
Community
Last verified
Oct 2026

Highlights

  • The comparison measures 21 individual models and routes on the same 1,100 public jev-bench questions (22 datasets x 50 items, seed 7).
  • Prices checked 2026-10-15: Celeris-1 Decision at $0.04 input and $0 output, Jev 1.13 and 1.14 at $0.042/$0, GPT-6 Luna Decisions at $0.10/$0.
  • Clef routes differ by provider: OpenRouter lists $0.042/$0.021/$0.150 input for Clef, Clef-flash and Clef-omni versus Cloudflare direct at $0.240/$0.038/$0.150.
  • Native decision probabilities, DIY token logprobs and Celeris's generative self-reported probabilities are labelled as distinct methods.
  • Span-01 and Span-01 Lite are explicitly excluded from the comparison, and intervals use 2,000 seeded bootstrap resamples.

Watch out

Copy reviewed against the published comparison (updated 2026-10-15) on 2026-10-17. It is one author's measurement dashboard, not a peer-reviewed benchmark; timings include process start, TLS, network and retries, failed or unsupported answers score as uniform, and Celeris-1 and Magnus were measured with a JSON probability adapter with thinking disabled.

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