Commonsense · Snowflake

Arctic 8B on HellaSwag: score, rank and what it means

Arctic 8B scores 69.4 on HellaSwag, placing it #542 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
69.4
0–100 scale
Rank
#542
of 600
Percentile
10th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
26.7
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Arctic 8B 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, Arctic 8B sits at #542 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 26.7 points. The median model in this index scores 83.6, which puts Arctic 8B below the midpoint.

Snowflake models average 75.0 on this benchmark. Arctic 8B is 5.6 points below that provider line, so it is a weaker result than the average Snowflake model.

Among small open-weight models, the average is 70.2. Arctic 8B is 0.8 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 69.4 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 $0.65 per million input tokens, Arctic 8B is below 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
Yi-Large 7B 01.AI 4096 $0.83 55.0
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
QwQ 1.5B Alibaba Cloud 32768 $0.61 51.6
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
DeepSeek-Coder 1.5B DeepSeek 16384 $0.58 51.0

Other benchmarks for Arctic 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.3 548 9th
GPQA Diamond 47.9 539 10th
SWE-bench Verified 36.8 543 10th
HumanEval 55.8 537 11th
MATH-500 52.8 535 11th
AIME 2025 39.7 542 10th
LiveCodeBench 39.7 539 10th
IFEval 64.4 537 11th
TruthfulQA 59.0 541 10th
MMMU 52.1 526 12th
Arena Elo 1224.0 532 11th

FAQ

What score does Arctic 8B get on HellaSwag?

Arctic 8B scores 69.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Arctic 8B rank on HellaSwag?

It ranks #542 of 600 models, in the 10th percentile. The leader is GPT-5.2 Max at 96.1.

Is Arctic 8B good at HellaSwag?

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 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 Arctic 8B cost?

Arctic 8B costs $0.65 per million input tokens and $2.31 per million output tokens.

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