Coding · Snowflake

Arctic on LiveCodeBench: score, rank and what it means

Arctic scores 61.6 on LiveCodeBench, placing it #354 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
61.6
0–100 scale
Rank
#354
of 600
Percentile
41th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
23.5
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Arctic 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 sits at #354 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 23.5 points. The median model in this index scores 64.7, which puts Arctic below the midpoint.

Snowflake models average 50.6 on this benchmark. Arctic is 11.0 points above that provider line, so it is a stronger result than the average Snowflake model.

Among open-weight models, the average is 59.1. Arctic is 2.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 61.6 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 $2.72 per million input tokens, Arctic 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
Reka Core Mini Reka AI 8192 $7.48 70.1
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
Llama 3.1 Base Meta AI 32768 $3.39 72.2
Arctic Snowflake 8192 $2.72 68.8
Arctic Chat Snowflake 16384 $2.70 69.8
Yi-Lightning Base 01.AI 16384 $3.31 72.7

Other benchmarks for Arctic

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.4 377 37th
GPQA Diamond 65.3 354 41th
SWE-bench Verified 54.2 391 35th
HumanEval 73.2 370 38th
MATH-500 70.5 382 36th
AIME 2025 64.6 343 43th
IFEval 79.0 354 41th
TruthfulQA 71.5 387 36th
HellaSwag 80.5 377 37th
MMMU 63.8 391 35th
Arena Elo 1345.7 370 38th

FAQ

What score does Arctic get on LiveCodeBench?

Arctic scores 61.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Arctic rank on LiveCodeBench?

It ranks #354 of 600 models, in the 41st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Arctic 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 cost?

Arctic costs $2.72 per million input tokens and $10.57 per million output tokens.

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