The two are evenly matched.
Scores updated · 11 tests both models report · How we compare
Where each one wins
Tests won in each of the one area where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
Facts rests on a single test.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
Every test, side by side
All 11 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Other results10 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- vectara_answer_rateLlama 3.3 70B Instruct by 36.862.799.5+36.8
- MMLULlama 3.3 70B Instruct by 28.557.586+28.5
- MATHLlama 3.3 70B Instruct by 25.151.977+25.1
- GSM8KLlama 3.3 70B Instruct by 17.476.894.2+17.4
- vectara_avg_summary_lengthArctic Instruct by 16.881.464.6+16.8
- NarrativeQALlama 3.3 70B Instruct by 13.765.379.1+13.7
- OpenBookQALlama 3.3 70B Instruct by 1082.892.8+10
- naturalquestions_closedbookLlama 3.3 70B Instruct by 4.13943.1+4.1
- AA IntelligenceLlama 3.3 70B Instruct by 2.35.47.7+2.3
- vectara_factual_consistencytie95.795.9tie
Questions people ask
Which is better, Arctic Instruct or Llama 3.3 70B Instruct?
Neither wins more tests than the other in any of the one area where both have results.
How do you compare the two?
We use the 11 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.