Preference · Replicate

Llama 3 Replicate Base on Arena Elo: score, rank and what it means

Llama 3 Replicate Base scores 1376.7 on Arena Elo, placing it #285 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
1376.7
0–100 scale
Rank
#285
of 600
Percentile
53th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
125.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3 Replicate Base 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 Replicate Base sits at #285 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 125.2 points. The median model in this index scores 1373.8, which puts Llama 3 Replicate Base above the midpoint.

Replicate models average 1314.7 on this benchmark. Llama 3 Replicate Base is 62.0 points above that provider line, so it is a stronger result than the average Replicate model.

Among open-weight models, the average is 1338.0. Llama 3 Replicate Base is 38.7 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 1376.7 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 $3.15 per million input tokens, Llama 3 Replicate Base 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
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Mixtral Chat Mistral AI 65536 $3.30 72.6
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Llama 3 Replicate Base Replicate 65536 $3.15 72.1
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
Seed-OSS ByteDance 32768 $3.74 75.3

Other benchmarks for Llama 3 Replicate Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.9 368 39th
GPQA Diamond 66.4 339 44th
SWE-bench Verified 62.2 274 54th
HumanEval 74.0 358 40th
MATH-500 75.7 310 48th
AIME 2025 69.9 259 57th
LiveCodeBench 66.8 256 57th
IFEval 81.3 295 51th
TruthfulQA 76.0 306 49th
HellaSwag 82.0 347 42th
MMMU 66.0 373 38th

FAQ

What score does Llama 3 Replicate Base get on Arena Elo?

Llama 3 Replicate Base scores 1376.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3 Replicate Base rank on Arena Elo?

It ranks #285 of 600 models, in the 53rd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3 Replicate Base 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 Replicate Base cost?

Llama 3 Replicate Base costs $3.15 per million input tokens and $16.13 per million output tokens.

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