Reasoning · Hyperbolic

Llama 3 Hyperbolic Chat on GPQA Diamond: score, rank and what it means

Llama 3 Hyperbolic Chat scores 72.7 on GPQA Diamond, placing it #204 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
72.7
0–100 scale
Rank
#204
of 600
Percentile
66th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
14.3
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Llama 3 Hyperbolic Chat sits at #204 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 14.3 points. The median model in this index scores 68.8, which puts Llama 3 Hyperbolic Chat above the midpoint.

Hyperbolic models average 60.8 on this benchmark. Llama 3 Hyperbolic Chat is 11.9 points above that provider line, so it is a stronger result than the average Hyperbolic model.

Among multimodal models, the average is 73.5. Llama 3 Hyperbolic Chat is 0.8 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 72.7 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 $3.64 per million input tokens, Llama 3 Hyperbolic Chat is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5

Other benchmarks for Llama 3 Hyperbolic Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 293 51th
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
Arena Elo 1375.5 291 52th

FAQ

What score does Llama 3 Hyperbolic Chat get on GPQA Diamond?

Llama 3 Hyperbolic Chat scores 72.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3 Hyperbolic Chat rank on GPQA Diamond?

It ranks #204 of 600 models, in the 66th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3 Hyperbolic Chat good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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