Instruction following · Hyperbolic

Llama 3 Hyperbolic 8B on IFEval: score, rank and what it means

Llama 3 Hyperbolic 8B scores 65.9 on IFEval, placing it #519 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
65.9
0–100 scale
Rank
#519
of 600
Percentile
14th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
30.2
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 3 Hyperbolic 8B 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 8B sits at #519 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 30.2 points. The median model in this index scores 81.2, which puts Llama 3 Hyperbolic 8B below the midpoint.

Hyperbolic models average 74.4 on this benchmark. Llama 3 Hyperbolic 8B is 8.5 points below that provider line, so it is a weaker result than the average Hyperbolic model.

Among small open-weight models, the average is 64.9. Llama 3 Hyperbolic 8B is 1.0 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 65.9 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 $0.92 per million input tokens, Llama 3 Hyperbolic 8B 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
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
MiniMax-M2 1.5B MiniMax 16384 $0.84 54.6

Other benchmarks for Llama 3 Hyperbolic 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.1 501 17th
GPQA Diamond 50.6 516 14th
SWE-bench Verified 44.3 474 21th
HumanEval 58.5 518 14th
MATH-500 55.9 506 16th
AIME 2025 47.1 476 21th
LiveCodeBench 46.7 481 20th
TruthfulQA 60.7 522 13th
HellaSwag 70.8 526 12th
MMMU 53.8 510 15th
Arena Elo 1245.3 498 17th

FAQ

What score does Llama 3 Hyperbolic 8B get on IFEval?

Llama 3 Hyperbolic 8B scores 65.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 3 Hyperbolic 8B rank on IFEval?

It ranks #519 of 600 models, in the 14th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 3 Hyperbolic 8B good at IFEval?

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 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 8B cost?

Llama 3 Hyperbolic 8B costs $0.92 per million input tokens and $4.50 per million output tokens.

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