Safety · Microsoft

Phi-4 on TruthfulQA: score, rank and what it means

Phi-4 scores 76.5 on TruthfulQA, placing it #295 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
76.5
0–100 scale
Rank
#295
of 600
Percentile
51th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
14.6
points

Score distribution

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

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Phi-4 sits at #295 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 14.6 points. The median model in this index scores 76.3, which puts Phi-4 above the midpoint.

Microsoft models average 67.5 on this benchmark. Phi-4 is 9.0 points above that provider line, so it is a stronger result than the average Microsoft model.

Among multimodal models, the average is 80.1. Phi-4 is 3.6 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 76.5 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 $3.96 per million input tokens, Phi-4 is below the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Phi-4 Microsoft 200000 $3.96 75.4
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Mixtral Mistral AI 65536 $3.48 73.7

Other benchmarks for Phi-4

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.5 198 67th
GPQA Diamond 69.4 284 53th
SWE-bench Verified 66.5 180 70th
HumanEval 79.4 253 58th
MATH-500 79.0 236 61th
AIME 2025 74.1 180 70th
LiveCodeBench 64.7 303 50th
IFEval 83.0 246 59th
HellaSwag 86.3 206 66th
MMMU 71.2 267 56th
Arena Elo 1392.0 240 60th

FAQ

What score does Phi-4 get on TruthfulQA?

Phi-4 scores 76.5 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Phi-4 rank on TruthfulQA?

It ranks #295 of 600 models, in the 51st percentile. The leader is GPT-5.1 Max at 91.1.

Is Phi-4 good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 cost?

Phi-4 costs $3.96 per million input tokens and $20.63 per million output tokens.

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