Coding · Snowflake

Arctic 1.5B on LiveCodeBench: score, rank and what it means

Arctic 1.5B scores 25.6 on LiveCodeBench, placing it #592 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
25.6
0–100 scale
Rank
#592
of 600
Percentile
1th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
59.5
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Arctic 1.5B highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Arctic 1.5B sits at #592 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 59.5 points. The median model in this index scores 64.7, which puts Arctic 1.5B below the midpoint.

Snowflake models average 50.6 on this benchmark. Arctic 1.5B is 25.0 points below that provider line, so it is a weaker result than the average Snowflake model.

Among small open-weight models, the average is 41.2. Arctic 1.5B is 15.6 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 25.6 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 $0.15 per million input tokens, Arctic 1.5B is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
Zephyr 7B Hugging Face 32768 $0.23 42.5
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Pythia 7B EleutherAI 8192 $0.10 40.7
Arctic 1.5B Snowflake 32768 $0.15 43.2
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
Pythia 8B EleutherAI 32768 $0.16 41.4

Other benchmarks for Arctic 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 52.3 583 3th
GPQA Diamond 38.9 588 2th
SWE-bench Verified 26.3 591 2th
HumanEval 47.5 586 2th
MATH-500 43.6 584 3th
AIME 2025 30.9 581 3th
IFEval 55.2 592 1th
TruthfulQA 49.8 592 1th
HellaSwag 63.7 590 2th
MMMU 41.7 591 2th
Arena Elo 1135.8 589 2th

FAQ

What score does Arctic 1.5B get on LiveCodeBench?

Arctic 1.5B scores 25.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Arctic 1.5B rank on LiveCodeBench?

It ranks #592 of 600 models, in the 1st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Arctic 1.5B good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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 1.5B cost?

Arctic 1.5B costs $0.15 per million input tokens and $0.82 per million output tokens.

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