Meta-Llama-3-70B: benchmark scores, price and ranking
Meta-Llama-3-70B from meta-llama ranks #423 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- meta-llama
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #423 of 743 (score 47.5)
Across the 1 benchmark where at least ten models are scored, Meta-Llama-3-70B is in the top 10% on 0 and in the top half on 0.
Meta-Llama-3-70B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 52.8% | #72 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Meta-Llama-3-70B
Meta-Llama-3-70B is an open-weight model that can run on your own hardware from meta-llama. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Meta-Llama-3-70B stands
On our aggregate score, Meta-Llama-3-70B is #423 of 743 ranked models, around the middle of the table. Its score is 47.5; the scale is centred on 50, so it sits 2.5 points below the typical model. That beats 43% of the ranked field. Among the 3 ranked meta-llama models it is #1. The next one down is Meta-Llama-3-8B at 45.2.
Meta-Llama-3-70B, benchmark by benchmark
Meta-Llama-3-70B lands below the middle on MMLU-Pro: 52.8%, #72 of 136, with 52% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Phi-4-mini-instruct at 52.8%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Meta-Llama-3-70B is 2.5 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #420 grok-4-1 (47.5)
- #421 Claude Code + Sonnet 5 (47.5)
- #422 Grok Build + Grok 4.5 (47.5)
- #424 Codex Mini (Latest) (47.5)
- #425 Qwen3-235b-a22b Instruct (25/07) (47.5)
- #426 Deepseek R1 (05/28) (47.5)
More from meta-llama
- Meta-Llama-3-8B (#603, 45.2)
- Llama-3.2-3B (#679, 43.4)
Compare it on the live leaderboard → · How the aggregate score works