Instruction following · Snowflake

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

Arctic Chat scores 77.6 on IFEval, placing it #370 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
77.6
0–100 scale
Rank
#370
of 600
Percentile
38th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
18.5
points

Score distribution

The chart shows the top 10 models on IFEval, with Arctic Chat 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 Chat sits at #370 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 18.5 points. The median model in this index scores 81.2, which puts Arctic Chat below the midpoint.

Snowflake models average 70.4 on this benchmark. Arctic Chat is 7.2 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 Chat is 0.6 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 77.6 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto Max OpenRouter 8192 $8.41 71.2
Firesearch Fireworks AI 32768 $7.03 68.5
Firesearch Max Fireworks AI 8192 $7.80 69.9
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Arctic Chat Snowflake 16384 $2.70 69.8
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
Molmo Allen Institute for AI 32768 $2.49 68.5

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
HumanEval 75.0 344 43th
MATH-500 71.4 374 38th
AIME 2025 66.0 330 45th
LiveCodeBench 61.6 355 41th
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 IFEval?

Arctic Chat scores 77.6 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Arctic Chat rank on IFEval?

It ranks #370 of 600 models, in the 38th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Arctic Chat 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 Chat cost?

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

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