Mathematics · Microsoft

Phi-4 Instruct on AIME 2025: score, rank and what it means

Phi-4 Instruct scores 74.0 on AIME 2025, placing it #182 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
74.0
0–100 scale
Rank
#182
of 600
Percentile
70th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
17.4
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Phi-4 Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Phi-4 Instruct sits at #182 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 17.4 points. The median model in this index scores 67.6, which puts Phi-4 Instruct above the midpoint.

Microsoft models average 54.6 on this benchmark. Phi-4 Instruct is 19.4 points above that provider line, so it is a stronger result than the average Microsoft model.

Among multimodal models, the average is 73.9. Phi-4 Instruct is 0.1 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 74.0 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 $3.79 per million input tokens, Phi-4 Instruct is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1
Nova Pro Reasoning Amazon 200000 $13.48 79.4
Phi-4 Microsoft 200000 $3.96 75.4
Llama 3.3 Groq Groq 32768 $3.98 76.8
Phi-4 Instruct Microsoft 128000 $3.79 75.3
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Codestral Chat Mistral AI 32768 $3.89 75.8

Other benchmarks for Phi-4 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.6 289 52th
GPQA Diamond 73.5 186 69th
SWE-bench Verified 62.7 263 56th
HumanEval 77.8 292 51th
MATH-500 80.0 207 66th
LiveCodeBench 69.8 195 68th
IFEval 80.9 314 48th
TruthfulQA 78.2 251 58th
HellaSwag 83.4 310 48th
MMMU 71.6 253 58th
Arena Elo 1401.7 205 66th

FAQ

What score does Phi-4 Instruct get on AIME 2025?

Phi-4 Instruct scores 74.0 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Phi-4 Instruct rank on AIME 2025?

It ranks #182 of 600 models, in the 70th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Phi-4 Instruct good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 Instruct cost?

Phi-4 Instruct costs $3.79 per million input tokens and $17.11 per million output tokens.

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