Reasoning · Hyperbolic

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

Llama 3 Hyperbolic Instruct scores 70.1 on GPQA Diamond, placing it #256 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.1
0–100 scale
Rank
#256
of 600
Percentile
57th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
16.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3 Hyperbolic Instruct 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 Instruct sits at #256 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 16.9 points. The median model in this index scores 68.8, which puts Llama 3 Hyperbolic Instruct above the midpoint.

Hyperbolic models average 60.8 on this benchmark. Llama 3 Hyperbolic Instruct 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 73.5. Llama 3 Hyperbolic Instruct is 3.4 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 70.1 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 $3.79 per million input tokens, Llama 3 Hyperbolic Instruct 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
Codestral Base Mistral AI 8192 $3.31 73.1
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
Grok 3 Mini xAI 200000 $9.67 73.9
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6
Phi-4 Chat Microsoft 65536 $3.66 74.7

Other benchmarks for Llama 3 Hyperbolic Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.9 212 65th
SWE-bench Verified 66.2 189 69th
HumanEval 79.4 251 58th
MATH-500 81.2 186 69th
AIME 2025 70.4 251 58th
LiveCodeBench 69.0 208 65th
IFEval 83.6 223 63th
TruthfulQA 79.4 203 66th
HellaSwag 85.9 219 64th
MMMU 74.1 185 69th
Arena Elo 1385.7 264 56th

FAQ

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

Llama 3 Hyperbolic Instruct scores 70.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3 Hyperbolic Instruct rank on GPQA Diamond?

It ranks #256 of 600 models, in the 57th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3 Hyperbolic Instruct 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 Instruct cost?

Llama 3 Hyperbolic Instruct costs $3.79 per million input tokens and $16.16 per million output tokens.

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