Instruction following · Microsoft

Phi-4 on IFEval: score, rank and what it means

Phi-4 scores 83.0 on IFEval, placing it #246 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
83.0
0–100 scale
Rank
#246
of 600
Percentile
59th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
13.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Phi-4 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, Phi-4 sits at #246 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 13.1 points. The median model in this index scores 81.2, which puts Phi-4 above the midpoint.

Microsoft models average 72.4 on this benchmark. Phi-4 is 10.6 points above that provider line, so it is a stronger result than the average Microsoft model.

Among multimodal models, the average is 85.2. Phi-4 is 2.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 83.0 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 $3.96 per million input tokens, Phi-4 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 3.1 Base Meta AI 32768 $3.39 72.2
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1
MiniMax-M2 Base MiniMax 65536 $4.20 76.4
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Phi-4 Microsoft 200000 $3.96 75.4
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
ERNIE 4.0 Baidu 32768 $11.37 76.7

Other benchmarks for Phi-4

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.5 198 67th
GPQA Diamond 69.4 284 53th
SWE-bench Verified 66.5 180 70th
HumanEval 79.4 253 58th
MATH-500 79.0 236 61th
AIME 2025 74.1 180 70th
LiveCodeBench 64.7 303 50th
TruthfulQA 76.5 295 51th
HellaSwag 86.3 206 66th
MMMU 71.2 267 56th
Arena Elo 1392.0 240 60th

FAQ

What score does Phi-4 get on IFEval?

Phi-4 scores 83.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Phi-4 rank on IFEval?

It ranks #246 of 600 models, in the 59th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Phi-4 good at IFEval?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Phi-4 cost?

Phi-4 costs $3.96 per million input tokens and $20.63 per million output tokens.

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