Mathematics · Microsoft

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

Phi-4 Base scores 64.6 on AIME 2025, placing it #347 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
64.6
0–100 scale
Rank
#347
of 600
Percentile
42th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
26.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Phi-4 Base 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 Base sits at #347 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 26.8 points. The median model in this index scores 67.6, which puts Phi-4 Base below the midpoint.

Microsoft models average 54.6 on this benchmark. Phi-4 Base is 10.0 points above that provider line, so it is a stronger result than the average Microsoft model.

Among open-weight models, the average is 61.8. Phi-4 Base is 2.8 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 64.6 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 $3.15 per million input tokens, Phi-4 Base 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
Arctic Snowflake 8192 $2.72 68.8
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3 Lambda Base Lambda 8192 $3.19 72.9
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Phi-4 Base Microsoft 32768 $3.15 71.2
Reka Core Mini Reka AI 8192 $7.48 70.1
Mixtral Groq Base Groq 32768 $2.66 68.4

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
LiveCodeBench 63.7 329 45th
IFEval 81.2 302 50th
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 AIME 2025?

Phi-4 Base scores 64.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Phi-4 Base rank on AIME 2025?

It ranks #347 of 600 models, in the 42nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Phi-4 Base good at AIME 2025?

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 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 Base cost?

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

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