Llama 3.1 70B Instruct by Meta: model card

What it is

Llama 3.1 70B Instruct is a text model from Meta. It ranks #294 of 421 on its Arena board, which puts it in the lower part of the list. The model answers in text: writes, reasons, works with code and documents.

Key numbers: Arena score 1293; votes 55 240; price $0.72 / $0.72 per 1M tokens (input / output); context 131.1K; licence Llama 3.1 Community.

What this card does not contain: our own test runs, latency measurements, user reviews or taste judgements. Everything stated here comes from the public Arena.ai leaderboard and specs published by the developer. A missing parameter is marked as not listed rather than guessed.

Leaderboard numbers

Rank: #294 of 421
Arena score: 1293
Votes in pairwise comparisons: 55240
Price: $0.72 / $0.72 per 1M tokens (input / output), as listed on Arena
Context window: 131.1K
Licence: Llama 3.1 Community

Who it is for

Teams choosing a default model for a product and wanting the whole board, not just the top row.
Anyone comparing price per token with rank, looking for the point where a cheaper model stops failing.

How to read these numbers

An Arena score comes from blind pairwise comparisons, not from an absolute quality scale. A few points between neighbouring rows is often inside the error bars, so the top of a board is better read as ‘roughly one tier’. Price, context and licence are stated specs and do not feed the score.

What to check yourself

Whether the model is available in your region and whether access terms changed since the snapshot.
Whether you really need the stated context: attention quality on long input is often lower.
How price behaves on your prompt mix: the input/output ratio can matter more than the headline figure.

Source

Leaderboard snapshot: 11 November 2026.

_Prepared with AI assistance from the public Arena.ai leaderboard. This is not first-hand experience with the model and not an independent review._

AI models Arena.ai language model LLM Meta model catalogue

Llama 3.1 70B Instruct by Meta