Coding · Snowflake

Arctic Base on SWE-bench Verified: score, rank and what it means

Arctic Base scores 56.2 on SWE-bench Verified, placing it #374 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
56.2
0–100 scale
Rank
#374
of 600
Percentile
38th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
25.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Arctic Base highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
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 SWE-bench Verified, Arctic Base sits at #374 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 25.5 points. The median model in this index scores 61.0, which puts Arctic Base below the midpoint.

Snowflake models average 46.3 on this benchmark. Arctic Base is 9.9 points above that provider line, so it is a stronger result than the average Snowflake model.

Among open-weight models, the average is 55.5. Arctic Base is 0.7 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 56.2 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 $2.27 per million input tokens, Arctic Base is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Large Base 01.AI 16384 $2.78 70.3
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Command A Mini Cohere 8192 $8.12 71.0
Arctic Base Snowflake 32768 $2.27 67.5
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1

Other benchmarks for Arctic Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.5 401 33th
GPQA Diamond 62.0 391 35th
HumanEval 71.5 383 36th
MATH-500 71.6 370 38th
AIME 2025 62.7 368 39th
LiveCodeBench 61.0 360 40th
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 SWE-bench Verified?

Arctic Base scores 56.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Arctic Base rank on SWE-bench Verified?

It ranks #374 of 600 models, in the 38th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Arctic Base good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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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