Preference · Hyperbolic

Llama 3 Hyperbolic 7B on Arena Elo: score, rank and what it means

Llama 3 Hyperbolic 7B scores 1249.5 on Arena Elo, placing it #492 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1249.5
0–100 scale
Rank
#492
of 600
Percentile
18th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
252.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3 Hyperbolic 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Llama 3 Hyperbolic 7B sits at #492 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 252.4 points. The median model in this index scores 1373.8, which puts Llama 3 Hyperbolic 7B below the midpoint.

Hyperbolic models average 1315.8 on this benchmark. Llama 3 Hyperbolic 7B is 66.3 points below that provider line, so it is a weaker result than the average Hyperbolic model.

Among small open-weight models, the average is 1224.7. Llama 3 Hyperbolic 7B is 24.8 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 1249.5 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 $0.94 per million input tokens, Llama 3 Hyperbolic 7B is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
DeepSeek-R1 1.5B DeepSeek 16384 $1.04 56.6
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Mixtral Groq 8B Groq 32768 $0.77 54.8

Other benchmarks for Llama 3 Hyperbolic 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.7 519 14th
GPQA Diamond 50.1 522 13th
SWE-bench Verified 40.6 515 14th
HumanEval 60.8 492 18th
MATH-500 55.1 520 13th
AIME 2025 43.9 509 15th
LiveCodeBench 46.1 486 19th
IFEval 64.9 532 11th
TruthfulQA 63.0 490 18th
HellaSwag 72.1 492 18th
MMMU 53.8 509 15th

FAQ

What score does Llama 3 Hyperbolic 7B get on Arena Elo?

Llama 3 Hyperbolic 7B scores 1249.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3 Hyperbolic 7B rank on Arena Elo?

It ranks #492 of 600 models, in the 18th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3 Hyperbolic 7B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 7B cost?

Llama 3 Hyperbolic 7B costs $0.94 per million input tokens and $3.67 per million output tokens.

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