AI Model Timeline

Tracking the accelerating release frequency of frontier AI models.

Muse Wonder Full

Meta·

LLMsflagshipcloud

Overview

Larger variant of Muse Wonder, released the same day and available only inside Muse Code, Meta's coding product; it is not offered per token through the Meta Model API. 1M-token context; text, image, video and audio input, text output. Meta's model card runs its risk assessments on this variant as the most capable of the family.

Capabilities and innovations

Agentic codingLong-horizon tool useMultimodal input (text, image, video, audio)1M-token contextMuse Code-only variant: no per-token API access at launch

Benchmarks

BenchmarkScoreSource
Humanity’s Last Exam (no tools)53.6%third party
HLE 53.6% no-tools, measured by Artificial Analysis at max effort (Intelligence Index v4.3.2 run) (accessed 2026-10-24).
Terminal-Bench 4.058.08%independent
Terminal-Bench 4.0 58.08% (± 3.31), measured by Vals AI at max effort, rank 5 of 54 (accessed 2026-10-24). Artificial Analysis measures 57.1, the figure Meta's model card quotes.
  • GPQA Diamond: independent evaluation pending — Not on Meta's model card. Artificial Analysis Intelligence Index v4.3 no longer runs GPQA Diamond and Vals AI has archived it (checked 2026-10-24).
  • SWE-bench Pro: not reported by the vendor — Meta reports DeepSWE v1.1, SWE-Marathon and ProgramBench instead, as for Muse Spark 1.2 and 1.3.
  • MMLU-Pro: not reported by the vendor
  • Terminal-Bench 2.x: not reported by the vendor — No Terminal-Bench 2.x run reported. Meta's card quotes Artificial Analysis's 4.0 run, recorded in terminal_bench_4.
  • Terminal-Bench 3.0: not reported by the vendor
  • DeepSWE v1.1: independent evaluation pending — Meta's model card states its DeepSWE v1.1 figures for Muse Wonder and Muse Wonder Full come from Datacurve third-party runs. Launch coverage quotes the scorecard at 79.0 for this model (78.8 for Muse Wonder). The scorecard itself is an image, the card's text carries no number, and Datacurve's public v1.1 board shows no Muse entry, so the figure is not entered until it is read at the source (checked 2026-10-24).
  • MMMU-Pro: independent evaluation pending — Artificial Analysis lists no MMMU-Pro value yet (checked 2026-10-24).

Reliability

omniscience_index
30.2 ()independent

Links

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Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.