Coding · Snowflake

Arctic Base on LiveCodeBench: score, rank and what it means

Arctic Base scores 61.0 on LiveCodeBench, placing it #360 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
61.0
0–100 scale
Rank
#360
of 600
Percentile
40th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
24.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Arctic Base 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 Base sits at #360 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 24.1 points. The median model in this index scores 64.7, which puts Arctic Base below the midpoint.

Snowflake models average 50.6 on this benchmark. Arctic Base is 10.4 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 Base is 1.9 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 61.0 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 $2.27 per million input tokens, Arctic Base 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
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Firefunction Fireworks AI 16384 $8.16 72.3
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Arctic Base Snowflake 32768 $2.27 67.5
Yi-Large Base 01.AI 16384 $2.78 70.3
Fusion Turbo OpenRouter 8192 $8.55 71.7

Other benchmarks for Arctic Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.5 401 33th
GPQA Diamond 62.0 391 35th
SWE-bench Verified 56.2 374 38th
HumanEval 71.5 383 36th
MATH-500 71.6 370 38th
AIME 2025 62.7 368 39th
IFEval 74.9 399 34th
TruthfulQA 71.9 381 37th
HellaSwag 79.9 379 37th
MMMU 61.6 413 31th
Arena Elo 1343.8 373 38th

FAQ

What score does Arctic Base get on LiveCodeBench?

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

How does Arctic Base rank on LiveCodeBench?

It ranks #360 of 600 models, in the 40th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Arctic Base 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 Base cost?

Arctic Base costs $2.27 per million input tokens and $10.68 per million output tokens.

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