Multimodal · Hyperbolic

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

Llama 3 Hyperbolic Base scores 68.6 on MMMU, placing it #332 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
68.6
0–100 scale
Rank
#332
of 600
Percentile
45th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
18.3
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Hyperbolic Base 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 Base sits at #332 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 18.3 points. The median model in this index scores 70.0, which puts Llama 3 Hyperbolic Base below the midpoint.

Hyperbolic models average 62.8 on this benchmark. Llama 3 Hyperbolic Base is 5.8 points above that provider line, so it is a stronger result than the average Hyperbolic model.

Among open-weight models, the average is 65.1. Llama 3 Hyperbolic Base is 3.5 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 68.6 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 $3.02 per million input tokens, Llama 3 Hyperbolic Base 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
Phi-3.5 Microsoft 16384 $2.81 70.9
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Firesearch Pro Fireworks AI 32768 $7.67 70.4
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1
Yi-Large Base 01.AI 16384 $2.78 70.3
Fusion OpenRouter 16384 $8.41 71.1

Other benchmarks for Llama 3 Hyperbolic Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.3 366 39th
GPQA Diamond 64.3 375 38th
SWE-bench Verified 58.2 353 41th
HumanEval 74.3 354 41th
MATH-500 77.1 275 54th
AIME 2025 69.3 272 55th
LiveCodeBench 62.5 341 43th
IFEval 79.0 355 41th
TruthfulQA 72.5 375 38th
HellaSwag 83.3 313 48th
Arena Elo 1369.8 317 47th

FAQ

What score does Llama 3 Hyperbolic Base get on MMMU?

Llama 3 Hyperbolic Base scores 68.6 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Hyperbolic Base rank on MMMU?

It ranks #332 of 600 models, in the 45th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Hyperbolic Base good at MMMU?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Base cost?

Llama 3 Hyperbolic Base costs $3.02 per million input tokens and $10.87 per million output tokens.

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