Jesse ZhangandClaude Fable 5 c335473d93 Strip MiMo's embedded model name from its artifacts (blind-Arena identity leak)
MiMo v2.5 Pro's one-shot outputs wrote the model name into the browser
title, an on-screen "Generated by MiMo v2.5 Pro" caption, a console log
(mythos-craft.html) and a watermark text at the bottom of the SVG
(pelican-cycling.svg), which would reveal its identity during blind
Arena voting. Removed those identity strings; generation logic untouched.
Documented the surgical fix in both run notes. MiMo was the only entry
with a visible model-name leak.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 14:31:19 +01:00
2026-06-10 22:43:23 +01:00
2026-06-11 00:08:54 +01:00
2026-06-11 00:08:54 +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/

X Discord Xiaohongshu Bilibili

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 x Effort Runs
Claude Fable 5 Anthropic Claude Web App · Max
Claude Code · Max
04
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 · xhigh 02
Gemini 3.1 Pro Google AntiGravity · High
Google AI Studio · High
03
Gemini 3.5 Flash Google AntiGravity · High
Google AI Studio · High
03
Grok Build xAI Grok Build TUI · 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 · 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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