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Muse Glimmer

muse-glimmer

Open weights
Apache-2.0 licence
Released 2026-10-13(first seen on LMArena)

Overall · LMArena: 1,425#112 of 396
Best percentile: 74.2Coding
Cohort standing: 53.6median 60.8

What the data says

Benchmarked on 6 of 27 tracked axes. Every figure below is the model's own published result on that board.

Uneven: 56.8 percentile points between its best and worst axis — 74.2 pct on Coding versus 17.4 pct on Factuality Arena.

Coding74.2 pct1,479Verify →
Hard prompts73.5 pct1,446Verify →
Overall72 pct1,425Verify →
Instruction following71.2 pct1,413Verify →
WebDev Arena23.7 pct1,355Verify →
Factuality Arena17.4 pct1,402Verify →
Vision ArenaNot benchmarked
Search ArenaNot benchmarked
Document ArenaNot benchmarked
Agent ArenaNot benchmarked
GPQA DiamondNot benchmarked
AIME (math)Not benchmarked
FrontierMathNot benchmarked
SimpleQA VerifiedNot benchmarked
ARC-AGI-2Not benchmarked
Humanity's Last ExamNot benchmarked
SimpleBenchNot benchmarked
LiveBenchNot benchmarked
BFCL v4 (function calling)Not benchmarked
SWE-bench Verified (live board)Not benchmarked
Terminal-Bench 4.0Not benchmarked
MMLU-Pro (Artificial Analysis)Not benchmarked
LiveCodeBench (Artificial Analysis)Not benchmarked
IFBench (Artificial Analysis)Not benchmarked
HHEM Hallucination (Vectara)Not benchmarked
SWE-bench VerifiedNot benchmarked
Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

muse-glimmer stands at 53.6 (raw mean 55.3) — measured on 6 of 27 axes.
standingtemplateVerify →
muse-glimmer stands at 53.6 versus a cohort median of 60.8 across 168 models released within 180 days — below the peer median.
cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →