Testing, measuring and developing Welsh AI
Evaluations → Muse Glimmer 30B

Muse Glimmer 30B open weights tested

Fifteenth on the extended CymraegBench leaderboard with an overall score of 70.64.

Four evaluators studying abstract models in a transparent testing arena

The facts

DeveloperMeta
OpenRouter IDmeta/muse-glimmer-30b
Size30 billion parameters
Test pricing$0.30 / $1.20 per million tokens (input/output)
Context131,072 tokens; up to 16,384 output tokens
Full run cost$0.62

Model source: Muse Glimmer 30B’s Hugging Face card.

CymraegBench result

Overall scoreWelsh reasoningPractical WelshTranslation BLEU
70.6477.5063.7860.71

The same sample was used as for the other leading models: up to 100 cases from each of the 19 core suites, with reasoning_effort=low and an output limit of 8,192 tokens. The 232 CCC cases do not contribute to the overall score.

Glimmer is fifteenth on the extended leaderboard: 2.74 points behind GLM-5.3 and 0.17 points ahead of Qwen3.8 27B. It completed all 2,053 cases without a refusal or invalid output.

CCC Language Audit

SubsetScore
Correction and explanation61.72
Idiom96.88
Terminology87.50
Summarisation and quotation91.07
References90.63
Welsh prompt100.00
English prompt85.83
Average across the seven subsets87.66

Glimmer scored 65.63 for correction and 35.94 for explanation. On the references test it scored 100 for selecting references, 68.75 for answer content, and 100 for not inventing a source.

See the full leaderboard, CCC Language Audit, or download the summary, scores by suite, CCC dimensions and the metadata.