Instruction following · Microsoft

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

Phi-4 Base scores 81.2 on IFEval, placing it #302 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
81.2
0–100 scale
Rank
#302
of 600
Percentile
50th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Phi-4 Base 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 Base sits at #302 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.9 points. The median model in this index scores 81.2, which puts Phi-4 Base above the midpoint.

Microsoft models average 72.4 on this benchmark. Phi-4 Base is 8.8 points above that provider line, so it is a stronger result than the average Microsoft model.

Among open-weight models, the average is 77.0. Phi-4 Base is 4.2 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 81.2 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 $3.15 per million input tokens, Phi-4 Base 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
Mixtral Mistral AI 65536 $3.48 73.7
Mixtral Base Mistral AI 65536 $2.95 71.1
Mixtral Groq Groq 16384 $3.37 73.1
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Phi-4 Base Microsoft 32768 $3.15 71.2
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Yi-Large 01.AI 32768 $3.40 73.5

Other benchmarks for Phi-4 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.0 354 41th
GPQA Diamond 64.9 363 40th
SWE-bench Verified 62.7 262 56th
HumanEval 73.9 359 40th
MATH-500 71.9 368 39th
AIME 2025 64.6 347 42th
LiveCodeBench 63.7 329 45th
TruthfulQA 74.4 346 42th
HellaSwag 84.8 258 57th
MMMU 67.0 359 40th
Arena Elo 1373.8 299 50th

FAQ

What score does Phi-4 Base get on IFEval?

Phi-4 Base scores 81.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Phi-4 Base rank on IFEval?

It ranks #302 of 600 models, in the 50th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Phi-4 Base 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 Base cost?

Phi-4 Base costs $3.15 per million input tokens and $11.39 per million output tokens.

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