Instruction following · Hyperbolic

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

Llama 3 Hyperbolic scores 83.7 on IFEval, placing it #218 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
83.7
0–100 scale
Rank
#218
of 600
Percentile
64th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
12.4
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Llama 3 Hyperbolic sits at #218 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 12.4 points. The median model in this index scores 81.2, which puts Llama 3 Hyperbolic above the midpoint.

Hyperbolic models average 74.4 on this benchmark. Llama 3 Hyperbolic is 9.3 points above that provider line, so it is a stronger result than the average Hyperbolic model.

Among multimodal models, the average is 85.2. Llama 3 Hyperbolic is 1.5 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 83.7 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 Chat Microsoft 65536 $3.66 74.7
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Llama 3 Baseten Baseten 128000 $3.62 74.9
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1

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
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 IFEval?

Llama 3 Hyperbolic scores 83.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 3 Hyperbolic rank on IFEval?

It ranks #218 of 600 models, in the 64th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 3 Hyperbolic good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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