Mathematics · Snowflake

Arctic 7B on AIME 2025: score, rank and what it means

Arctic 7B scores 37.7 on AIME 2025, placing it #554 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
37.7
0–100 scale
Rank
#554
of 600
Percentile
8th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
53.7
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Arctic 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Arctic 7B sits at #554 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 53.7 points. The median model in this index scores 67.6, which puts Arctic 7B below the midpoint.

Snowflake models average 52.6 on this benchmark. Arctic 7B is 14.9 points below that provider line, so it is a weaker result than the average Snowflake model.

Among small open-weight models, the average is 41.6. Arctic 7B is 3.9 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 37.7 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
Codestral 1.5B Mistral AI 8192 $0.52 49.9
Llama 3 Lambda 1.5B Lambda 16384 $0.46 48.4
Phi-3.5 8B Microsoft 16384 $0.59 51.2
Arctic 7B Snowflake 8192 $0.49 50.3
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3

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
HumanEval 51.2 563 6th
MATH-500 51.8 542 10th
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 AIME 2025?

Arctic 7B scores 37.7 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Arctic 7B rank on AIME 2025?

It ranks #554 of 600 models, in the 8th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Arctic 7B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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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