Coding · Cerebras

Llama 3.1 Cerebras on HumanEval: score, rank and what it means

Llama 3.1 Cerebras scores 81.3 on HumanEval, placing it #204 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
81.3
0–100 scale
Rank
#204
of 600
Percentile
66th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
15.5
points

Score distribution

The chart shows the top 10 models on HumanEval, with Llama 3.1 Cerebras highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Llama 3.1 Cerebras sits at #204 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 15.5 points. The median model in this index scores 77.4, which puts Llama 3.1 Cerebras above the midpoint.

Cerebras models average 71.1 on this benchmark. Llama 3.1 Cerebras is 10.2 points above that provider line, so it is a stronger result than the average Cerebras model.

Among multimodal models, the average is 82.2. Llama 3.1 Cerebras is 0.9 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 81.3 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 $4.01 per million input tokens, Llama 3.1 Cerebras is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Mini OpenAI 128000 $10.68 76.2
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Llama 3 Lambda Lambda 65536 $3.90 75.6
Yi-Lightning 01.AI 32768 $4.22 77.2
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Llama 3.1 Cerebras Instruct Cerebras 65536 $4.11 76.1
Llama 3.3 Chat Meta AI 32768 $4.18 76.9

Other benchmarks for Llama 3.1 Cerebras

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 295 51th
GPQA Diamond 74.4 156 74th
SWE-bench Verified 64.9 214 64th
MATH-500 82.4 155 74th
AIME 2025 69.8 260 57th
LiveCodeBench 66.1 273 55th
IFEval 84.6 199 67th
TruthfulQA 80.6 166 72th
HellaSwag 85.1 239 60th
MMMU 70.1 298 50th
Arena Elo 1411.3 179 70th

FAQ

What score does Llama 3.1 Cerebras get on HumanEval?

Llama 3.1 Cerebras scores 81.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 3.1 Cerebras rank on HumanEval?

It ranks #204 of 600 models, in the 66th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 3.1 Cerebras good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 3.1 Cerebras cost?

Llama 3.1 Cerebras costs $4.01 per million input tokens and $15.13 per million output tokens.

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