Preference · Cerebras

Llama 3.1 Cerebras Base on Arena Elo: score, rank and what it means

Llama 3.1 Cerebras Base scores 1387.0 on Arena Elo, placing it #259 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
1387.0
0–100 scale
Rank
#259
of 600
Percentile
57th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
114.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3.1 Cerebras 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 3.1 Cerebras Base sits at #259 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 114.9 points. The median model in this index scores 1373.8, which puts Llama 3.1 Cerebras Base above the midpoint.

Cerebras models average 1327.5 on this benchmark. Llama 3.1 Cerebras Base is 59.5 points above that provider line, so it is a stronger result than the average Cerebras model.

Among open-weight models, the average is 1338.0. Llama 3.1 Cerebras Base is 49.0 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 1387.0 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 $3.36 per million input tokens, Llama 3.1 Cerebras 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
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1
Llama 3.1 Cerebras Instruct Cerebras 65536 $4.11 76.1
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Sonar Turbo Perplexity 65536 $10.71 75.7
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
DBRX Databricks 65536 $3.29 73.3

Other benchmarks for Llama 3.1 Cerebras Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.4 265 56th
GPQA Diamond 66.9 332 45th
SWE-bench Verified 58.6 347 42th
HumanEval 79.2 259 57th
MATH-500 74.2 342 43th
AIME 2025 67.8 298 50th
LiveCodeBench 67.7 231 62th
IFEval 82.7 253 58th
TruthfulQA 75.1 329 45th
HellaSwag 82.6 332 45th
MMMU 67.9 342 43th

FAQ

What score does Llama 3.1 Cerebras Base get on Arena Elo?

Llama 3.1 Cerebras Base scores 1387.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3.1 Cerebras Base rank on Arena Elo?

It ranks #259 of 600 models, in the 57th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3.1 Cerebras 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 3.1 Cerebras Base cost?

Llama 3.1 Cerebras Base costs $3.36 per million input tokens and $15.59 per million output tokens.

Related