Commonsense · Cerebras

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

Llama 3.1 Cerebras scores 85.1 on HellaSwag, placing it #239 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
85.1
0–100 scale
Rank
#239
of 600
Percentile
60th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
11.0
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Llama 3.1 Cerebras sits at #239 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 11.0 points. The median model in this index scores 83.6, which puts Llama 3.1 Cerebras above the midpoint.

Cerebras models average 79.4 on this benchmark. Llama 3.1 Cerebras is 5.7 points above that provider line, so it is a stronger result than the average Cerebras model.

Among multimodal models, the average is 86.8. Llama 3.1 Cerebras is 1.7 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 85.1 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 $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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.3 Groq Base Groq 16384 $3.24 73.5
Reka Flash Max Reka AI 32768 $11.17 75.9
Yi-Large 01.AI 32768 $3.40 73.5
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Nemotron 4 Base NVIDIA 8192 $3.29 73.0

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
HumanEval 81.3 204 66th
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
MMMU 70.1 298 50th
Arena Elo 1411.3 179 70th

FAQ

What score does Llama 3.1 Cerebras get on HellaSwag?

Llama 3.1 Cerebras scores 85.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 3.1 Cerebras rank on HellaSwag?

It ranks #239 of 600 models, in the 60th percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 3.1 Cerebras good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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