readable AI benchmarks (simplified)
Meta
Muse Spark 1.3
Muse Spark 1.3 has a Quality Score of 68.2, ranking 28th among 398 scored models. Per 1M tokens, pricing is $1.25 input, $4.25 output, and $0.150 cached input. It accepts text, image, video, pdf, and audio input, outputs text, and has a 1M token context window. Its Reliability Score is 62.5, ranking 42nd among 399 scored models, above average (total average: 38.0). Its Value Score is 49.2, high compared with the total Value average of 33.2.
Quality Score68.2coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score49.2
Factual reliability62.5
Cache Discount88%
Model specification
- Reasoning
- reasoning
- Input modalities
- text, image, video, pdf, audio
- Output modalities
- text
- 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
- $1.60
Capability
- Intelligence
- 48.1
- Coding
- not available
- Agentic
- not available
- Omniscience
- 25.0
- Correct
- 43.6%
- Blended price
- $0.780
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 62.2%
Correct 43.6%Incorrect 18.6%Partial / not attempted 37.8%
Similar models
- Muse Spark 1.3 (Xhigh)MetaQuality Score 65.5Value Score 47.2
- Muse WonderMetaQuality Score 71.7Value Score 44.1
- Muse Wonder FullMetaQuality Score 75.5Value Score not available
- Muse Spark OpenMetaQuality Score 61.1Value Score 44.0
- Muse GlimmerMetaQuality Score 30.2Value Score 25.4
- Llama 3.1 Instruct 405BMetaQuality Score 26.3Value Score not available