Coding · Replicate

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

Llama 3 Replicate 7B scores 46.8 on LiveCodeBench, placing it #479 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
46.8
0–100 scale
Rank
#479
of 600
Percentile
20th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
38.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 Replicate 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 Replicate 7B sits at #479 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 38.3 points. The median model in this index scores 64.7, which puts Llama 3 Replicate 7B below the midpoint.

Replicate models average 57.5 on this benchmark. Llama 3 Replicate 7B is 10.7 points below that provider line, so it is a weaker result than the average Replicate model.

Among small open-weight models, the average is 41.2. Llama 3 Replicate 7B is 5.6 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 46.8 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 $0.91 per million input tokens, Llama 3 Replicate 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
Llama 3.1 Cerebras 8B Cerebras 32768 $1.02 58.2
Firefunction Nano Fireworks AI 16384 $3.07 58.1
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0
Pythia Instruct EleutherAI 8192 $1.41 60.8
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0

Other benchmarks for Llama 3 Replicate 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.6 520 13th
GPQA Diamond 50.9 511 15th
SWE-bench Verified 41.7 503 16th
HumanEval 60.7 493 18th
MATH-500 55.9 507 16th
AIME 2025 45.5 493 18th
IFEval 66.2 515 14th
TruthfulQA 61.7 510 15th
HellaSwag 69.9 535 11th
MMMU 56.6 477 21th
Arena Elo 1242.4 504 16th

FAQ

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

Llama 3 Replicate 7B scores 46.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 Replicate 7B rank on LiveCodeBench?

It ranks #479 of 600 models, in the 20th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 Replicate 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 Replicate 7B cost?

Llama 3 Replicate 7B costs $0.91 per million input tokens and $4.00 per million output tokens.

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