Preference · Hyperbolic

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

Llama 3 Hyperbolic Chat scores 1375.5 on Arena Elo, placing it #291 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
1375.5
0–100 scale
Rank
#291
of 600
Percentile
52th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
126.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3 Hyperbolic Chat 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 Chat sits at #291 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 126.4 points. The median model in this index scores 1373.8, which puts Llama 3 Hyperbolic Chat above the midpoint.

Hyperbolic models average 1315.8 on this benchmark. Llama 3 Hyperbolic Chat is 59.7 points above that provider line, so it is a stronger result than the average Hyperbolic model.

Among multimodal models, the average is 1409.6. Llama 3 Hyperbolic Chat is 34.1 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 1375.5 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 $3.64 per million input tokens, Llama 3 Hyperbolic Chat 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
Seed-OSS ByteDance 32768 $3.74 75.3
Llama 3.3 Groq Base Groq 16384 $3.24 73.5
Fusion Pro OpenRouter 65536 $8.69 72.2
Command R+ Base Cohere 65536 $3.24 71.6
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
DBRX Instruct Databricks 8192 $3.21 72.4

Other benchmarks for Llama 3 Hyperbolic Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 293 51th
GPQA Diamond 72.7 204 66th
SWE-bench Verified 61.8 284 53th
HumanEval 79.8 239 60th
MATH-500 79.2 228 62th
AIME 2025 73.4 199 67th
LiveCodeBench 69.0 207 66th
IFEval 81.2 296 51th
TruthfulQA 77.7 263 56th
HellaSwag 84.8 256 57th
MMMU 70.5 281 53th

FAQ

What score does Llama 3 Hyperbolic Chat get on Arena Elo?

Llama 3 Hyperbolic Chat scores 1375.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3 Hyperbolic Chat rank on Arena Elo?

It ranks #291 of 600 models, in the 52nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3 Hyperbolic Chat good at Arena Elo?

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 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 Chat cost?

Llama 3 Hyperbolic Chat costs $3.64 per million input tokens and $16.55 per million output tokens.

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