Coding · Snowflake

Arctic 7B on HumanEval: score, rank and what it means

Arctic 7B scores 51.2 on HumanEval, placing it #563 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
51.2
0–100 scale
Rank
#563
of 600
Percentile
6th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
45.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Arctic 7B 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, Arctic 7B sits at #563 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 45.6 points. The median model in this index scores 77.4, which puts Arctic 7B below the midpoint.

Snowflake models average 64.0 on this benchmark. Arctic 7B is 12.8 points below that provider line, so it is a weaker result than the average Snowflake model.

Among small open-weight models, the average is 56.7. Arctic 7B is 5.5 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 51.2 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 $0.49 per million input tokens, Arctic 7B is below 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
Llama 3.1 1.5B Meta AI 4096 $0.53 50.7
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Arctic 7B Snowflake 8192 $0.49 50.3
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1

Other benchmarks for Arctic 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 57.7 553 8th
GPQA Diamond 45.1 567 6th
SWE-bench Verified 34.7 558 7th
MATH-500 51.8 542 10th
AIME 2025 37.7 554 8th
LiveCodeBench 39.2 541 10th
IFEval 63.1 545 9th
TruthfulQA 58.0 547 9th
HellaSwag 67.9 558 7th
MMMU 47.4 569 5th
Arena Elo 1201.2 552 8th

FAQ

What score does Arctic 7B get on HumanEval?

Arctic 7B scores 51.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Arctic 7B rank on HumanEval?

It ranks #563 of 600 models, in the 6th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Arctic 7B good at HumanEval?

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 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 Arctic 7B cost?

Arctic 7B costs $0.49 per million input tokens and $2.38 per million output tokens.

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