Safety · Perplexity

Sonar Max on TruthfulQA: score, rank and what it means

Sonar Max scores 78.9 on TruthfulQA, placing it #224 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
78.9
0–100 scale
Rank
#224
of 600
Percentile
63th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
12.2
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Sonar Max 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, Sonar Max sits at #224 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 12.2 points. The median model in this index scores 76.3, which puts Sonar Max above the midpoint.

Perplexity models average 77.9 on this benchmark. Sonar Max is 1.0 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 80.1. Sonar Max is 1.2 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 78.9 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 $11.60 per million input tokens, Sonar Max 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
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4
Reka Core Reka AI 32768 $12.17 77.4
Reka Flash Reka AI 128000 $9.95 74.1
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Sonar Max Perplexity 32768 $11.60 77.8
MiniMax-Text MiniMax 32768 $4.44 77.0
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7

Other benchmarks for Sonar Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.3 141 77th
GPQA Diamond 73.7 180 70th
SWE-bench Verified 63.0 253 58th
HumanEval 82.1 186 69th
MATH-500 83.3 143 76th
AIME 2025 74.9 156 74th
LiveCodeBench 72.8 133 78th
IFEval 85.2 188 69th
HellaSwag 85.3 232 61th
MMMU 75.4 156 74th
Arena Elo 1395.2 227 62th

FAQ

What score does Sonar Max get on TruthfulQA?

Sonar Max scores 78.9 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Sonar Max rank on TruthfulQA?

It ranks #224 of 600 models, in the 63rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Sonar Max 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 Sonar Max cost?

Sonar Max costs $11.60 per million input tokens and $42.81 per million output tokens.

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