Llama 3.1 Tulu 3 70B DPO — Benchmarks
Benchmark scores for Llama 3.1 Tulu 3 70B DPO aggregated from public leaderboards (3 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.
No llmrun Composite Score for Llama 3.1 Tulu 3 70B DPO: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.
Llama 3.1 Tulu 3 70B DPO reasoning benchmarks
Multi-step logic and problem-solving — can the model think through a hard problem rather than recall an answer.
46.3%
46.3%
median 55.7%open leader 93.2%
Overall best: Gemini 4 Argon (high) 96.4%
36th percentile · #64 of 100 open · #251 of 309 all
IndependentEpoch AI ·
Llama 3.1 Tulu 3 70B DPO math benchmarks
Symbolic and quantitative problem-solving, from competition math to multi-step calculation.
4.4%
4.4%
median 54.4%open leader 99.4%
Overall best: Claude Fable 5 (high) 100.0%
20th percentile · #71 of 88 open · #264 of 292 all
IndependentEpoch AI ·
42.7%
42.7%
median 41.6%open leader 96.6%
Overall best: GPT 5 (Aug 07, 2025, high) 98.1%
53rd percentile · #19 of 39 open · #70 of 107 all
IndependentEpoch AI ·
Scores aggregated from public benchmark sources (Epoch AI: 3 boards) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.