Coding · Snowflake

Arctic Instruct on HumanEval: score, rank and what it means

Arctic Instruct scores 74.1 on HumanEval, placing it #356 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
74.1
0–100 scale
Rank
#356
of 600
Percentile
41th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
22.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Arctic Instruct highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Arctic Instruct sits at #356 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 22.7 points. The median model in this index scores 77.4, which puts Arctic Instruct below the midpoint.

Snowflake models average 64.0 on this benchmark. Arctic Instruct is 10.1 points above that provider line, so it is a stronger result than the average Snowflake model.

Among open-weight models, the average is 72.4. Arctic Instruct is 1.7 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 74.1 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 $2.83 per million input tokens, Arctic Instruct is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion OpenRouter 16384 $8.41 71.1
Molmo Allen Institute for AI 32768 $2.49 68.5
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Arctic Instruct Snowflake 65536 $2.83 70.6
Reka Core Mini Reka AI 8192 $7.48 70.1
Llama 3 Replicate Base Replicate 65536 $3.15 72.1

Other benchmarks for Arctic Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.3 380 37th
GPQA Diamond 64.6 367 39th
SWE-bench Verified 58.3 348 42th
MATH-500 74.3 340 43th
AIME 2025 66.7 318 47th
LiveCodeBench 65.2 288 52th
IFEval 78.9 357 41th
TruthfulQA 74.1 350 42th
HellaSwag 83.6 297 51th
MMMU 64.9 381 37th
Arena Elo 1343.7 375 38th

FAQ

What score does Arctic Instruct get on HumanEval?

Arctic Instruct scores 74.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Arctic Instruct rank on HumanEval?

It ranks #356 of 600 models, in the 41st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Arctic Instruct good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 Instruct cost?

Arctic Instruct costs $2.83 per million input tokens and $13.96 per million output tokens.

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