Knowledge · Modal

Llama 3 Modal Base on MMLU-Pro: score, rank and what it means

Llama 3 Modal Base scores 76.6 on MMLU-Pro, placing it #288 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
76.6
0–100 scale
Rank
#288
of 600
Percentile
52th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
15.0
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Llama 3 Modal Base highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Llama 3 Modal Base sits at #288 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 15.0 points. The median model in this index scores 76.1, which puts Llama 3 Modal Base above the midpoint.

Modal models average 70.3 on this benchmark. Llama 3 Modal Base is 6.3 points above that provider line, so it is a stronger result than the average Modal model.

Among open-weight models, the average is 72.1. Llama 3 Modal Base is 4.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 76.6 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $3.21 per million input tokens, Llama 3 Modal Base is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Sonar Reasoning Perplexity 200000 $11.48 76.2
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Auto Pro OpenRouter 8192 $8.41 71.2
Llama 3 Modal Base Modal 16384 $3.21 72.2
Phi-4 Instruct Microsoft 128000 $3.79 75.3
o3 Mini OpenAI 128000 $10.68 76.2

Other benchmarks for Llama 3 Modal Base

BenchmarkScoreRankPercentileRelative
GPQA Diamond 66.2 340 43th
SWE-bench Verified 60.1 325 46th
HumanEval 78.9 268 55th
MATH-500 75.8 305 49th
AIME 2025 64.9 338 44th
LiveCodeBench 65.1 291 52th
IFEval 79.7 340 43th
TruthfulQA 73.6 363 40th
HellaSwag 84.1 279 54th
MMMU 68.9 327 46th
Arena Elo 1363.9 336 44th

FAQ

What score does Llama 3 Modal Base get on MMLU-Pro?

Llama 3 Modal Base scores 76.6 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Llama 3 Modal Base rank on MMLU-Pro?

It ranks #288 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Pro at 91.6.

Is Llama 3 Modal Base good at MMLU-Pro?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the MMLU-Pro score calculated?

MMLU-Pro is a knowledge benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Llama 3 Modal Base cost?

Llama 3 Modal Base costs $3.21 per million input tokens and $17.08 per million output tokens.

Related