Mathematics · Microsoft

Phi-3.5 7B on AIME 2025: score, rank and what it means

Phi-3.5 7B scores 36.8 on AIME 2025, placing it #557 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
36.8
0–100 scale
Rank
#557
of 600
Percentile
7th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
54.6
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Phi-3.5 7B 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-3.5 7B sits at #557 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 54.6 points. The median model in this index scores 67.6, which puts Phi-3.5 7B below the midpoint.

Microsoft models average 54.6 on this benchmark. Phi-3.5 7B is 17.8 points below that provider line, so it is a weaker result than the average Microsoft model.

Among small open-weight models, the average is 41.6. Phi-3.5 7B is 4.8 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 36.8 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 $0.50 per million input tokens, Phi-3.5 7B 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
Phi-3.5 8B Microsoft 16384 $0.59 51.2
Arctic 7B Snowflake 8192 $0.49 50.3
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3
Phi-3.5 7B Microsoft 4096 $0.50 50.5
Mistral Small 3 1.5B Mistral AI 32768 $0.42 49.2
Seed-OSS 1.5B ByteDance 4096 $0.45 49.8

Other benchmarks for Phi-3.5 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 534 11th
GPQA Diamond 47.6 542 10th
SWE-bench Verified 33.2 570 5th
HumanEval 54.5 547 9th
MATH-500 51.8 544 9th
LiveCodeBench 35.2 569 5th
IFEval 61.5 561 7th
TruthfulQA 55.0 574 4th
HellaSwag 69.1 546 9th
MMMU 51.1 543 10th
Arena Elo 1190.4 565 6th

FAQ

What score does Phi-3.5 7B get on AIME 2025?

Phi-3.5 7B scores 36.8 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Phi-3.5 7B rank on AIME 2025?

It ranks #557 of 600 models, in the 7th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Phi-3.5 7B 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-3.5 7B cost?

Phi-3.5 7B costs $0.50 per million input tokens and $2.68 per million output tokens.

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