readable AI benchmarks (simplified)
Arcee AI
Trinity Large Thinking
Trinity Large Thinking has a Quality Score of 22.3, ranking 357th among 572 scored models. Per 1M tokens, pricing is $0.250 input, $0.800 output, and $0.060 cached input. It accepts text input, outputs text, and has a 512k token context window. Its Reliability Score is 28.0, ranking 353rd among 574 scored models, below average (total average: 36.5). Its Value Score is 19.1, low compared with the total Value average of 31.5.
Quality Score22.3coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score19.1
Factual reliability28.0
Cache Discount76%
Model specification
- Reasoning
- reasoning
- Input modalities
- text
- Output modalities
- text
- Context window
- 512k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.250
- Output
- $0.800
- Cached Input
- $0.060
- Cache write
- not available
- Cost per task
- $0.119
Capability
- Intelligence
- 10.8
- Coding
- not available
- Agentic
- not available
- Omniscience
- -44.1
- Correct
- 22.5%
- Blended price
- $0.172
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 89.1%
Correct 22.5%Incorrect 66.6%Partial / not attempted 10.9%
Artificial Analysis benchmarks
- GDPval-AA v2
- 0%
- τ³-Banking
- 6%
- SciCode
- 41%
- Humanity’s Last Exam
- 16%
- GPQA Diamond
- 75%
- CritPt
- 1%
- AA-Omniscience
- 28%
- AA-LCR
- 38%
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