readable AI benchmarks (simplified)
Meta
Muse Spark 1.3 (Xhigh)
Muse Spark 1.3 (Xhigh) has a Quality Score of 65.5, ranking 35th among 398 scored models. Per 1M tokens, pricing is $1.25 input, $4.25 output, and $0.150 cached input. It has a 1M token context window. Its Reliability Score is 61.6, ranking 46th among 399 scored models, above average (total average: 38.0). Its Value Score is 47.2, high compared with the total Value average of 33.2.
Quality Score65.5coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score47.2
Factual reliability61.6
Cache Discount88%
Model specification
- Reasoning
- reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 1M tokens
- Weights
- closed weights
Token prices USD per 1M tokens
- Input
- $1.25
- Output
- $4.25
- Cached Input
- $0.150
- Cache write
- not available
- Cost per task
- $1.37
Capability
- Intelligence
- 45.1
- Coding
- not available
- Agentic
- not available
- Omniscience
- 23.1
- Correct
- 41.5%
- Blended price
- $0.780
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 59.9%
Correct 41.5%Incorrect 18.4%Partial / not attempted 40.1%
Artificial Analysis benchmarks
- GDPval-AA v2
- 56%
- τ³-Banking
- 47%
- SciCode
- 60%
- Humanity’s Last Exam
- 47%
- GPQA Diamond
- 94%
- CritPt
- 26%
- AA-Omniscience
- 62%
- AA-LCR
- 83%
Similar models
- Muse Spark 1.3MetaQuality Score 68.2Value Score 49.2
- Muse Spark OpenMetaQuality Score 61.1Value Score 44.0
- Muse WonderMetaQuality Score 71.7Value Score 44.1
- Muse Wonder FullMetaQuality Score 75.5Value Score not available
- Muse GlimmerMetaQuality Score 30.2Value Score 25.4
- Llama 3.1 Instruct 405BMetaQuality Score 26.3Value Score not available