readable AI benchmarks (simplified)
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Llama 3.1 Instruct 70B
Llama 3.1 Instruct 70B has a Quality Score of 19.3, ranking 403rd among 551 scored models. Per 1M tokens, pricing is $0.560 input and $0.560 output. It has a 128k token context window. Its Reliability Score is 28.4, ranking 326th among 553 scored models, below average (total average: 35.6).
Quality Score19.3coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability28.4
Cache Discountnot available
Model specification
- Reasoning
- non-reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 128k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.560
- Output
- $0.560
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 6.6
- Coding
- not available
- Agentic
- not available
- Omniscience
- -43.1
- Correct
- 19.7%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 82.5%
Correct 19.7%Incorrect 62.8%Partial / not attempted 17.5%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 4%
- GPQA Diamond
- 41%
- CritPt
- 0%
- AA-Omniscience
- 28%
Similar models
- Llama 4 ScoutMetaQuality Score 18.2Value Score not available
- Llama 3.3 Instruct 70BMetaQuality Score 17.4Value Score 12.7
- Llama 3.1 Instruct 8BMetaQuality Score 22.6Value Score not available
- Llama 3 Instruct 70BMetaQuality Score 15.6Value Score not available
- Llama 4 MaverickMetaQuality Score 22.2Value Score 17.8
- Llama 3.2 Instruct 1BMetaQuality Score 15.0Value Score not available