readable AI benchmarks (simplified)
Meta
Muse Spark 1.3 (max)
Muse Spark 1.3 (max) has a Quality Score of 71.5, ranking 15th among 277 scored models. It accepts text, image, and video input, outputs text, and has a 1M token context window. Its Reliability Score is 62.5, ranking 22nd among 277 scored models, above average (total average: 34.6).
Quality Score71.5coverage 91.2%: missing Epoch General ECI, CursorBench 3.2 and DeepSWE v1.1
Value Scorenot available
Reliability62.5
Cache Discountnot available
Model specification
- Reasoning
- reasoning
- Input modalities
- text, image, video
- Output modalities
- text
- Context window
- 1M tokens
- Weights
- closed weights
Token prices USD per 1M tokens
- Input
- not available
- Output
- not available
- Cached Input
- not available
- Cached Output
- not available
- Cost per task
- not available
Capability
- Intelligence
- 62.1
- Coding
- 76.3
- Agentic
- 59.3
- Omniscience
- 24.9
- Correct
- 43.8%
- Blended price
- not available
Answer outcomes
Attempt rate: 62.7%
Correct 43.8%Incorrect 18.9%Abstained 37.3%
Artificial Analysis benchmarks
- GDPval-AA v2
- 63%
- τ³-Banking
- 52%
- Terminal-Bench v2.1
- 86%
- SciCode
- 57%
- Humanity’s Last Exam
- 49%
- GPQA Diamond
- 94%
- CritPt
- 25%
- AA-Omniscience
- 62%
- AA-LCR
- 79%
Similar models
- Muse Spark 1.3 (xhigh)MetaQuality Score 69.6Value Score 51.7
- Muse Spark 1.2 (xhigh)MetaQuality Score 67.8Value Score 50.0
- Muse Glimmer (high)MetaQuality Score 34.2Value Score 34.0
- Llama 3.1 Instruct 405BMetaQuality Score 21.4Value Score not available
- Llama 4 MaverickMetaQuality Score 17.6Value Score 16.9
- Llama 3.3 Instruct 70BMetaQuality Score 12.6Value Score 10.4