Coding · Hyperbolic

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

Llama 3 Hyperbolic scores 79.3 on HumanEval, placing it #255 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
79.3
0–100 scale
Rank
#255
of 600
Percentile
58th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
17.5
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Llama 3 Hyperbolic sits at #255 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 17.5 points. The median model in this index scores 77.4, which puts Llama 3 Hyperbolic above the midpoint.

Hyperbolic models average 68.8 on this benchmark. Llama 3 Hyperbolic is 10.5 points above that provider line, so it is a stronger result than the average Hyperbolic model.

Among multimodal models, the average is 82.2. Llama 3 Hyperbolic is 2.9 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 79.3 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2
Llama 3.1 Turbo Base Together AI 16384 $3.30 73.0
Phi-4 Microsoft 200000 $3.96 75.4
Yi-Large 01.AI 32768 $3.40 73.5
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Llama 3.3 Groq Base Groq 16384 $3.24 73.5

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
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
MMMU 73.0 219 64th
Arena Elo 1391.3 245 59th

FAQ

What score does Llama 3 Hyperbolic get on HumanEval?

Llama 3 Hyperbolic scores 79.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 3 Hyperbolic rank on HumanEval?

It ranks #255 of 600 models, in the 58th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 3 Hyperbolic good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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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