Instruction following · Snowflake

Arctic on IFEval: score, rank and what it means

Arctic scores 79.0 on IFEval, placing it #354 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
79.0
0–100 scale
Rank
#354
of 600
Percentile
41th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
17.1
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Arctic sits at #354 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 17.1 points. The median model in this index scores 81.2, which puts Arctic below the midpoint.

Snowflake models average 70.4 on this benchmark. Arctic is 8.6 points above that provider line, so it is a stronger result than the average Snowflake model.

Among open-weight models, the average is 77.0. Arctic is 2.0 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 79.0 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 $2.72 per million input tokens, Arctic is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
Arctic Snowflake 8192 $2.72 68.8
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1
Seed-OSS Base ByteDance 16384 $3.14 72.2

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
LiveCodeBench 61.6 354 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 IFEval?

Arctic scores 79.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Arctic rank on IFEval?

It ranks #354 of 600 models, in the 41st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Arctic good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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