Jesse ZhangandClaude Fable 5 8acf16262f Rename Claude Code combination ids to the -cc suffix; refresh the Opus 4.8 mythos build
claude-fable-5-code -> claude-fable-5-cc, claude-opus-4-8 ->
claude-opus-4-8-cc (the entry id doubles as the outputs/ folder name).
The Opus mythos-craft artifact is a newer build of the same one-shot
provenance.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 23:07:51 +01:00
2026-06-10 22:43:23 +01:00

NAGI BENCH

中文 | English

One-shot LLM eval cases by NAGI STUDIO: same prompt, different model x harness x effort combinations, one attempt and no retries — a side-by-side record of the runnable artifacts they ship.

Live site: https://bench.nagi.fun/

Models vs harnesses

  • Model: the weights and inference engine itself — GPT-5.5, Gemini 3.1 Pro, Claude Fable 5.
  • Harness: the product/scaffolding wrapping the model — Codex CLI, Cursor, AntiGravity, the Claude web app. It controls tool calls, system prompts, context management and continuation strategy, and often shapes the outcome as much as the model does.
  • The unit of evaluation here is therefore the combination: the same model under a different harness or effort level is a separate entry (GPT-5.5 Pro and GPT-5.5 running in Codex CLI at xhigh are two records of the same model family). Effort defaults to max; new effort variants of an existing combination can be added later.

Registry

Model Vendor Harness Effort Runs
Claude Fable 5 Anthropic Claude Web App Max 02
Claude Fable 5 Anthropic Claude Code Max 02
Claude Opus 4.8 Anthropic Claude Code Max 02
GPT-5.5 Pro OpenAI ChatGPT Web Extended Pro 02
GPT-5.5 OpenAI Codex CLI (no skills) xhigh 02
Gemini 3.1 Pro Google AntiGravity High 02
Gemini 3.1 Pro Google Google AI Studio High 01
Gemini 3.5 Flash Google AntiGravity High 02
Gemini 3.5 Flash Google Google AI Studio High 01
Grok Build xAI Grok Build TUI (local) Max 02
Composer 2.5 Cursor Cursor Max 01
DeepSeek-V4-Pro DeepSeek Claude Code Max 02
Doubao Seed 2.0 Pro ByteDance Doubao Web Pro Mode 01
Doubao Seed 2.0 Mini ByteDance Doubao Web Fast Mode 01
MiMo v2.5 Pro Xiaomi Claude Code Max 02
Kimi K2.6 Moonshot AI Kimi Code (local) Thinking 02
MiniMax M3 MiniMax MiniMax Code Web Thinking 01

Pending: Mistral Medium 3.5 · GLM-5.1 · Qwen3.7-Max (PRs welcome)

This table is a hand-maintained snapshot; the site's registry section is generated live from models/*.json and is authoritative.

Arena blind battles & community board

  • Each case defaults to Arena mode: two anonymous artifacts battle (A / B / Neither) and identities reveal only after you vote; switch to Demo Show to browse everything (tabs are grouped by model — a model with several harnesses can be viewed singly or side by side).
  • Casting 03 votes in each case unlocks the community leaderboard, ranked by Bradley-Terry scores (the LMSYS Chatbot Arena approach); "neither" counts separately as both-bad.
  • Votes stay in the browser by default; deploying worker/ (Cloudflare Worker + D1 + Turnstile, free tier) upgrades the board to sitewide crowdsourced data — see worker/README.md.

Structure

outputs/<model-id>/<case-id>.<ext>   raw model artifacts (HTML / SVG), filename = case id
models/<model-id>.json               combination registry: label / vendor / harness / effort / order / run notes
cases.json                           case definitions (bilingual prompts, maintainer-owned)
scripts/validate-data.ts             data validation (CI runs it on every PR)

The site and vote-backend source lives in the private nagi-bench-site repo, deployed on Cloudflare Pages; this repo is the site's data source.

Validation

bun scripts/validate-data.ts   # the same data validation CI runs

Contributing a run

Contributions are data-only — no code changes needed:

  1. Artifact: outputs/<model-id>/<case-id>.<ext> (e.g. outputs/gpt-5-5-pro/pelican-cycling.svg).
  2. Registration: models/<model-id>.json (new file for a new combination; add to runs for an existing one) — see the schema example in the Chinese README.

CI-enforced rules: dash-only lowercase ids matching the outputs/ folder name; a required bilingual provenance note per run (which harness, what effort, one-shot or fixed); every declared run must have its artifact; multiple versions of the same combination x case go in an array with distinct file names (e.g. pelican-cycling-2.svg). Set contributor to your GitHub username — the site shows your avatar linked to your profile next to the run. Fill in harness and effort truthfully for new combinations: the case page renders Harness / Effort metadata chips from these fields and auto-matches brand icons for the model, vendor and harness (via lobe-icons) — contributors never touch icons.

PRs get data validation from CI; merges to main rebuild the site automatically (usually instant, at most 6 hours).

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