Coding · Hyperbolic

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

Llama 3 Hyperbolic 7B scores 46.1 on LiveCodeBench, placing it #486 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
46.1
0–100 scale
Rank
#486
of 600
Percentile
19th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
39.0
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Llama 3 Hyperbolic 7B sits at #486 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 39.0 points. The median model in this index scores 64.7, which puts Llama 3 Hyperbolic 7B below the midpoint.

Hyperbolic models average 56.5 on this benchmark. Llama 3 Hyperbolic 7B is 10.4 points below that provider line, so it is a weaker result than the average Hyperbolic model.

Among small open-weight models, the average is 41.2. Llama 3 Hyperbolic 7B is 4.9 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 46.1 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 $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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
Auto Nano OpenRouter 4096 $2.83 57.1
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6

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
IFEval 64.9 532 11th
TruthfulQA 63.0 490 18th
HellaSwag 72.1 492 18th
MMMU 53.8 509 15th
Arena Elo 1249.5 492 18th

FAQ

What score does Llama 3 Hyperbolic 7B get on LiveCodeBench?

Llama 3 Hyperbolic 7B scores 46.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 Hyperbolic 7B rank on LiveCodeBench?

It ranks #486 of 600 models, in the 19th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 Hyperbolic 7B good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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.

Related