Mathematics · Microsoft

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

Phi-3.5 Instruct scores 66.6 on AIME 2025, placing it #323 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
66.6
0–100 scale
Rank
#323
of 600
Percentile
46th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
24.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Phi-3.5 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-3.5 Instruct sits at #323 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 24.8 points. The median model in this index scores 67.6, which puts Phi-3.5 Instruct below the midpoint.

Microsoft models average 54.6 on this benchmark. Phi-3.5 Instruct is 12.0 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-3.5 Instruct is 4.8 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 66.6 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 $2.67 per million input tokens, Phi-3.5 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
Mixtral Base Mistral AI 65536 $2.95 71.1
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Command A Mini Cohere 8192 $8.12 71.0
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7
Llama 3 Modal Chat Modal 65536 $3.55 73.3

Other benchmarks for Phi-3.5 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.9 338 44th
GPQA Diamond 65.5 352 41th
SWE-bench Verified 56.1 376 37th
HumanEval 72.1 378 37th
MATH-500 74.6 338 44th
LiveCodeBench 59.6 373 38th
IFEval 79.2 353 41th
TruthfulQA 75.3 326 46th
HellaSwag 82.2 343 43th
MMMU 65.3 379 37th
Arena Elo 1346.8 369 39th

FAQ

What score does Phi-3.5 Instruct get on AIME 2025?

Phi-3.5 Instruct scores 66.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Phi-3.5 Instruct rank on AIME 2025?

It ranks #323 of 600 models, in the 46th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Phi-3.5 Instruct 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 Instruct cost?

Phi-3.5 Instruct costs $2.67 per million input tokens and $14.62 per million output tokens.

Related