Reasoning · Microsoft

Phi-3.5 Chat on GPQA Diamond: score, rank and what it means

Phi-3.5 Chat scores 64.9 on GPQA Diamond, placing it #362 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
64.9
0–100 scale
Rank
#362
of 600
Percentile
40th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
22.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Phi-3.5 Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Phi-3.5 Chat sits at #362 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 22.1 points. The median model in this index scores 68.8, which puts Phi-3.5 Chat below the midpoint.

Microsoft models average 58.6 on this benchmark. Phi-3.5 Chat is 6.3 points above that provider line, so it is a stronger result than the average Microsoft model.

Among open-weight models, the average is 63.6. Phi-3.5 Chat is 1.3 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 64.9 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 $2.64 per million input tokens, Phi-3.5 Chat is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Firesearch Fireworks AI 32768 $7.03 68.5
Grok 3 Nano xAI 8192 $7.12 67.8
Qwen3-Max Nano Alibaba Cloud 65536 $8.31 71.7
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Phi-4 Base Microsoft 32768 $3.15 71.2
o3 Nano OpenAI 32768 $7.78 70.6

Other benchmarks for Phi-3.5 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 345 43th
SWE-bench Verified 56.6 372 38th
HumanEval 71.0 389 35th
MATH-500 69.0 388 35th
AIME 2025 64.6 346 42th
LiveCodeBench 62.6 340 43th
IFEval 79.2 352 41th
TruthfulQA 72.4 377 37th
HellaSwag 80.9 373 38th
MMMU 63.7 393 35th
Arena Elo 1338.0 380 37th

FAQ

What score does Phi-3.5 Chat get on GPQA Diamond?

Phi-3.5 Chat scores 64.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Phi-3.5 Chat rank on GPQA Diamond?

It ranks #362 of 600 models, in the 40th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Phi-3.5 Chat good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 Chat cost?

Phi-3.5 Chat costs $2.64 per million input tokens and $12.13 per million output tokens.

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