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Add the Meta Muse Wonder model card and metadata - #216

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add-muse-wonder
Oct 13, 2026
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MaxGhenis merged 4 commits into
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add-muse-wonder

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@MaxGhenis

@MaxGhenis MaxGhenis commented Oct 12, 2026 •

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This is the card PR for Meta Muse Wonder, following #201, the Claude Haiku 5.5 card. Its scores join the published board in the next data release, so this PR changes no published artifact.

Facts (2026-10-12)

  • Meta released Muse Wonder and Muse Wonder Full on 2026-10-12 (TechCrunch, VentureBeat).
  • Muse Wonder is on Meta's Model API as muse-wonder-1.0, at $4 / $20 per 1M input/output tokens and $0.20 per 1M cached input.
  • Muse Wonder Full has no API. It is limited to Muse Code subscriptions, so the board's API protocol cannot run it.
  • Provider. PolicyBench holds no Meta key. OpenRouter's only endpoint for meta/muse-wonder is Meta itself (provider "Meta", serving meta/muse-wonder-20261012), so the row runs through OpenRouter, as Kimi, GLM, Qwen, MiniMax and Inkling do.

The card (2026-10-13)

  • Contract: JSON, whole-scenario. Meta's API accepts tool_choice: "auto" only. A named-function or "required" choice returns 400 ("only \"auto\" is supported for tool_choice"). The board's rule is a forced answer tool unless the provider rejects it, so the row runs the JSON contract, as Opus 5.5 and Sonnet 5.5 do.
  • Reasoning. With no reasoning parameter it reasons at the provider default. On a one-question probe it used 1,913 and 3,089 of 1,991 and 3,181 completion tokens with no tools, and 2,189 and 2,635 of 2,352 and 2,815 with tool_choice: "auto". It returns a short reasoning summary and an encrypted trace. With no forced tool there is no tool_choice auto sensitivity run, because that run measures how much a forced tool suppresses reasoning.
  • Gauntlet. Without the reasoning budget the 3-variable JSON probe stopped at the token limit (384 tokens). With it, 3/3 and 16/16 parsed (2,402 and 2,736 completion tokens, 15s and 18s), about $0.059 per scenario.
  • Smoke. Two scenarios on the run path completed 2/2 with no missing prediction or explanation, for $0.12. Meta's reported cost equals the reconstruction from list prices.
  • Raw probe responses, the gauntlet report and the smoke run are in ~/reviews/policybench-muse-wonder/{probes,onboard,smoke}.

Plan

  • Roster entry, price and release date
  • Reasoning probe, card, gauntlet and two-scenario smoke
  • Independent review, then merge on the gates

The board run started at e6f69d4 on the release branch (#217), which carries this card.

🤖 Generated with Claude Code

Meta released Muse Wonder on 2026-10-12 (TechCrunch, VentureBeat). Its API
id on Meta's Model API is muse-wonder-1.0. PolicyBench holds no Meta key, and
OpenRouter's only endpoint for meta/muse-wonder is Meta itself (provider
"Meta", serving meta/muse-wonder-20261012), so the row runs through
OpenRouter as Kimi, GLM, Qwen, MiniMax and Inkling do.

Priced at Meta's list rate, $4 / $20 per 1M input/output tokens with $0.20
cached input and no long-context tier (Meta's launch post and the
OpenRouter listing, read 2026-10-12).

The serving card waits on the onboarding probes (forced tool vs auto
reasoning, gauntlet, smoke).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Project Deployment Actions Updated
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Request Review

…ses a forced tool

Meta's API, which OpenRouter's one endpoint for meta/muse-wonder passes
requests to, accepts tool_choice "auto" only: a named-function or
"required" choice returns 400. The board's rule is a forced answer tool
unless the provider rejects it, so the row runs the JSON contract
whole-scenario, as Opus 5.5 and Sonnet 5.5 do, reasoning at the provider
default (a one-question probe used 1,913 to 3,089 reasoning tokens with
no tools and 2,189 to 2,635 with tool_choice auto). With no forced tool
there is no tool_choice auto sensitivity run.

Gauntlet (2026-10-13): without the reasoning budget the 3-variable JSON
probe stopped at the token limit; with it, 3/3 and 16/16 parsed (2,402 and
2,736 completion tokens, 15s and 18s), about $0.059 per scenario. A
two-scenario smoke on the run path completed 2/2 with no missing
prediction or explanation for $0.12 (Meta's reported cost equals the
reconstruction from list prices).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@MaxGhenis
MaxGhenis marked this pull request as ready for review October 13, 2026 02:50
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
…(card review P3)

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@MaxGhenis
MaxGhenis merged commit fe5fc2e into main Oct 13, 2026
6 checks passed
MaxGhenis added a commit that referenced this pull request Oct 13, 2026
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

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