Multimodal · Replicate

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

Llama 3 Replicate scores 72.5 on MMMU, placing it #231 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
72.5
0–100 scale
Rank
#231
of 600
Percentile
62th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
14.4
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Replicate 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 Replicate sits at #231 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 14.4 points. The median model in this index scores 70.0, which puts Llama 3 Replicate above the midpoint.

Replicate models average 63.7 on this benchmark. Llama 3 Replicate is 8.8 points above that provider line, so it is a stronger result than the average Replicate model.

Among multimodal models, the average is 74.3. Llama 3 Replicate is 1.8 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 72.5 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 $3.75 per million input tokens, Llama 3 Replicate 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
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Mixtral Mistral AI 65536 $3.48 73.7
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3 Replicate Replicate 200000 $3.75 75.7
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7

Other benchmarks for Llama 3 Replicate

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 219 64th
GPQA Diamond 67.7 318 47th
SWE-bench Verified 65.4 207 66th
HumanEval 81.0 214 64th
MATH-500 80.0 206 66th
AIME 2025 72.6 208 65th
LiveCodeBench 69.2 205 66th
IFEval 83.6 224 63th
TruthfulQA 75.5 320 47th
HellaSwag 86.5 192 68th
Arena Elo 1373.6 303 50th

FAQ

What score does Llama 3 Replicate get on MMMU?

Llama 3 Replicate scores 72.5 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Replicate rank on MMMU?

It ranks #231 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Replicate 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 Replicate cost?

Llama 3 Replicate costs $3.75 per million input tokens and $13.86 per million output tokens.

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