Multimodal · Hyperbolic

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

Llama 3 Hyperbolic scores 73.0 on MMMU, placing it #219 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
73.0
0–100 scale
Rank
#219
of 600
Percentile
64th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
13.9
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Hyperbolic 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 Hyperbolic sits at #219 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 13.9 points. The median model in this index scores 70.0, which puts Llama 3 Hyperbolic above the midpoint.

Hyperbolic models average 62.8 on this benchmark. Llama 3 Hyperbolic is 10.2 points above that provider line, so it is a stronger result than the average Hyperbolic model.

Among multimodal models, the average is 74.3. Llama 3 Hyperbolic is 1.3 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 73.0 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 $3.86 per million input tokens, Llama 3 Hyperbolic 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
Codestral Chat Mistral AI 32768 $3.89 75.8
Grok 3 Mini xAI 200000 $9.67 73.9
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
Llama 3.3 Meta AI 128000 $4.56 78.2
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1

Other benchmarks for Llama 3 Hyperbolic

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.2 238 60th
GPQA Diamond 72.6 206 66th
SWE-bench Verified 64.4 223 63th
HumanEval 79.3 255 58th
MATH-500 76.3 292 51th
AIME 2025 66.8 316 47th
LiveCodeBench 64.0 318 47th
IFEval 83.7 218 64th
TruthfulQA 75.9 309 49th
HellaSwag 85.3 231 62th
Arena Elo 1391.3 245 59th

FAQ

What score does Llama 3 Hyperbolic get on MMMU?

Llama 3 Hyperbolic scores 73.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Hyperbolic rank on MMMU?

It ranks #219 of 600 models, in the 64th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Hyperbolic 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 Hyperbolic cost?

Llama 3 Hyperbolic costs $3.86 per million input tokens and $19.72 per million output tokens.

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