Safety · DeepSeek

DeepSeek-R1 Instruct on TruthfulQA: score, rank and what it means

DeepSeek-R1 Instruct scores 82.2 on TruthfulQA, placing it #127 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
82.2
0–100 scale
Rank
#127
of 600
Percentile
79th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
8.9
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with DeepSeek-R1 Instruct 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, DeepSeek-R1 Instruct sits at #127 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 8.9 points. The median model in this index scores 76.3, which puts DeepSeek-R1 Instruct above the midpoint.

DeepSeek models average 74.8 on this benchmark. DeepSeek-R1 Instruct is 7.4 points above that provider line, so it is a stronger result than the average DeepSeek model.

Among frontier models, the average is 86.9. DeepSeek-R1 Instruct is 4.7 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 82.2 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 $5.90 per million input tokens, DeepSeek-R1 Instruct is above 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
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
Magistral Chat Mistral AI 128000 $4.33 76.8
Command A Max Cohere 400000 $14.28 79.9
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
DeepSeek-R1 Instruct DeepSeek 1000000 $5.90 83.1
Llama 4 Scout Meta AI 200000 $4.90 79.3
Magistral Mistral AI 200000 $4.75 79.8

Other benchmarks for DeepSeek-R1 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.9 63 90th
GPQA Diamond 81.4 37 94th
SWE-bench Verified 72.4 69 89th
HumanEval 88.0 72 88th
MATH-500 86.2 88 85th
AIME 2025 77.6 120 80th
LiveCodeBench 79.6 49 92th
IFEval 88.9 83 86th
HellaSwag 91.1 59 90th
MMMU 81.5 37 94th
Arena Elo 1447.7 80 87th

FAQ

What score does DeepSeek-R1 Instruct get on TruthfulQA?

DeepSeek-R1 Instruct scores 82.2 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does DeepSeek-R1 Instruct rank on TruthfulQA?

It ranks #127 of 600 models, in the 79th percentile. The leader is GPT-5.1 Max at 91.1.

Is DeepSeek-R1 Instruct 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 DeepSeek-R1 Instruct cost?

DeepSeek-R1 Instruct costs $5.90 per million input tokens and $26.49 per million output tokens.

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