LLaMA-65B: benchmark scores, price and ranking

LLaMA-65B from Meta AI is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-13.

Organisation
Meta AI
Type
Open-weight / local model
Open weights
Yes
Released
2023-02-24 (source: epoch)
Aggregate rank
Not ranked yet (too few shared benchmarks)

Across the 1 benchmark where at least ten models are scored, LLaMA-65B is in the top 10% on 0 and in the top half on 0.

LLaMA-65B benchmark results

LLaMA-65B benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Epoch ECI110#157 of 204Epoch AI Benchmarking Hub2026-10-13

About LLaMA-65B

LLaMA-65B is an open-weight model that can run on your own hardware from Meta AI. It was released on 2023-02-24, according to Epoch AI. 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 LLaMA-65B stands

LLaMA-65B has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.

LLaMA-65B, benchmark by benchmark

LLaMA-65B lands below the middle on Epoch ECI: 110, #157 of 204, with 76% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is DeepSeek LLM 67B at 110. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so LLaMA-65B is 17 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The next one was Llama-2-13b-chat on 2023-07-18, at 45.3.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (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.

More from Meta AI

Compare it on the live leaderboard → · How the aggregate score works