Multimodal · Modal

Llama 3 Modal on MMMU: score, rank and what it means

Llama 3 Modal scores 71.6 on MMMU, placing it #251 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
71.6
0–100 scale
Rank
#251
of 600
Percentile
58th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
15.3
points

Score distribution

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

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Llama 3 Modal sits at #251 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 15.3 points. The median model in this index scores 70.0, which puts Llama 3 Modal above the midpoint.

Modal models average 62.7 on this benchmark. Llama 3 Modal is 8.9 points above that provider line, so it is a stronger result than the average Modal model.

Among multimodal models, the average is 74.3. Llama 3 Modal is 2.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 71.6 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 $3.82 per million input tokens, Llama 3 Modal is below the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Command R+ Instruct Cohere 200000 $4.16 76.2
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3 Modal Modal 32768 $3.82 74.9
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Phi-4 Instruct Microsoft 128000 $3.79 75.3

Other benchmarks for Llama 3 Modal

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 294 51th
GPQA Diamond 71.0 238 60th
SWE-bench Verified 63.6 243 60th
HumanEval 78.8 269 55th
MATH-500 79.1 232 61th
AIME 2025 70.8 240 60th
LiveCodeBench 67.4 240 60th
IFEval 81.4 292 51th
TruthfulQA 79.5 202 66th
HellaSwag 84.1 278 54th
Arena Elo 1391.4 244 59th

FAQ

What score does Llama 3 Modal get on MMMU?

Llama 3 Modal scores 71.6 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Modal rank on MMMU?

It ranks #251 of 600 models, in the 58th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Modal good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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 cost?

Llama 3 Modal costs $3.82 per million input tokens and $17.80 per million output tokens.

Related