Meta, released Aug 10, 2026

Muse Glimmer 30Bprice, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 6% confidence, 1 of 7 expected sources in

50.9

SI Score

Not ranked yet

Input, per 1M tokens: not yet reported
Output, per 1M tokens: not yet reported
Context window: 131K
Max output: 131K
Released: Aug 10, 2026

How the score breaks down

Coding 59.6

Math —

Preference —

Reasoning 83.5

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.

Around it on the leaderboard

Full leaderboard

Benchmark results

4 benchmarks, 4 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 83.5% 83.5

SWE-bench Procoding 51.2% 51.2

SWE-bench Verifiedcoding 76% 76.0

Terminal-Bench 2.1coding 51.7% 51.7

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights: Yes
License: Apache 2.0
Input modalities: text, image
First seen by SuperIndex: Oct 8, 2026
Coverage: 4% of expected source weight

Reported (1)

Official model cards via models.devOct 8, 2026

Awaiting (6)

ARC Prize13% of weight
Epoch AI Benchmarking25% of weight
Humanity’s Last Exam13% of weight
LiveBench13% of weight
LMArena / Arena25% of weight
Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.