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The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Running this yourself: likely needs a high-memory cloud gpu.
49.2
Quality Score
1273
Arena ELO
70B
Parameters
131K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Dec 2024
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
meta-llama/Llama-3.3-70B-Instruct — Open LLM Leaderboard #40
Avg: 44.8 | IFEval: 90.0 | BBH: 56.6 | MATH: 48.3 | GPQA: 10.5 | MMLU-PRO: 48.1
View sourcemeta-llama/Llama-3.3-70B-Instruct — Open LLM Leaderboard #40
Avg: 44.8 | IFEval: 90.0 | BBH: 56.6 | MATH: 48.3 | GPQA: 10.5 | MMLU-PRO: 48.1
View sourcemeta-llama/Llama-3.3-70B-Instruct — Open LLM Leaderboard #40
Avg: 44.8 | IFEval: 90.0 | BBH: 56.6 | MATH: 48.3 | GPQA: 10.5 | MMLU-PRO: 48.1
View sourcemeta-llama/Llama-3.3-70B-Instruct — Open LLM Leaderboard #40
Avg: 44.8 | IFEval: 90.0 | BBH: 56.6 | MATH: 48.3 | GPQA: 10.5 | MMLU-PRO: 48.1
View sourcemeta-llama/Llama-3.3-70B-Instruct — Open LLM Leaderboard #40
Avg: 44.8 | IFEval: 90.0 | BBH: 56.6 | MATH: 48.3 | GPQA: 10.5 | MMLU-PRO: 48.1
View sourcemeta-llama/Llama-3.3-70B-Instruct — Open LLM Leaderboard #40
Avg: 44.8 | IFEval: 90.0 | BBH: 56.6 | MATH: 48.3 | GPQA: 10.5 | MMLU-PRO: 48.1
View source1273
ELO Score
1271 - 1275
95% Confidence
+/-2 points
48.6K
Battles
May 21, 2026
Last Updated