Coding · Snowflake

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

Arctic Chat scores 75.0 on HumanEval, placing it #344 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
75.0
0–100 scale
Rank
#344
of 600
Percentile
43th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
21.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Arctic Chat 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 Chat sits at #344 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 21.8 points. The median model in this index scores 77.4, which puts Arctic Chat below the midpoint.

Snowflake models average 64.0 on this benchmark. Arctic Chat 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 72.4. Arctic Chat is 2.6 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 75.0 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 $2.70 per million input tokens, Arctic Chat 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
Auto OpenRouter 32768 $7.53 70.2
Nova Pro Mini Amazon 16384 $7.74 70.6
Firefunction Fireworks AI 16384 $8.16 72.3
Firefunction Max Fireworks AI 32768 $9.12 73.2
Arctic Chat Snowflake 16384 $2.70 69.8
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
DBRX Instruct Databricks 8192 $3.21 72.4

Other benchmarks for Arctic Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.6 361 40th
GPQA Diamond 65.6 349 42th
SWE-bench Verified 57.6 361 40th
MATH-500 71.4 374 38th
AIME 2025 66.0 330 45th
LiveCodeBench 61.6 355 41th
IFEval 77.6 370 38th
TruthfulQA 73.9 355 41th
HellaSwag 79.7 383 36th
MMMU 66.1 369 39th
Arena Elo 1342.4 377 37th

FAQ

What score does Arctic Chat get on HumanEval?

Arctic Chat scores 75.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Arctic Chat rank on HumanEval?

It ranks #344 of 600 models, in the 43rd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Arctic Chat 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 Chat cost?

Arctic Chat costs $2.70 per million input tokens and $11.83 per million output tokens.

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