Safety · Meta AI

Llama 4 Scout Chat on TruthfulQA: score, rank and what it means

Llama 4 Scout Chat scores 78.7 on TruthfulQA, placing it #229 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
78.7
0–100 scale
Rank
#229
of 600
Percentile
62th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
12.4
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Llama 4 Scout Chat 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, Llama 4 Scout Chat sits at #229 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 12.4 points. The median model in this index scores 76.3, which puts Llama 4 Scout Chat above the midpoint.

Meta AI models average 72.7 on this benchmark. Llama 4 Scout Chat is 6.0 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 80.1. Llama 4 Scout Chat is 1.4 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 78.7 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 $4.66 per million input tokens, Llama 4 Scout Chat 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
MiniMax-Text MiniMax 32768 $4.44 77.0
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
Sonar Perplexity 200000 $10.57 76.0
Fusion Max OpenRouter 65536 $9.14 72.5

Other benchmarks for Llama 4 Scout Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.2 204 66th
GPQA Diamond 77.1 104 83th
SWE-bench Verified 65.3 208 65th
HumanEval 83.2 158 74th
MATH-500 80.3 204 66th
AIME 2025 76.8 132 78th
LiveCodeBench 68.3 222 63th
IFEval 85.4 177 71th
HellaSwag 87.5 159 74th
MMMU 76.4 128 79th
Arena Elo 1407.5 188 69th

FAQ

What score does Llama 4 Scout Chat get on TruthfulQA?

Llama 4 Scout Chat scores 78.7 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Llama 4 Scout Chat rank on TruthfulQA?

It ranks #229 of 600 models, in the 62nd percentile. The leader is GPT-5.1 Max at 91.1.

Is Llama 4 Scout Chat 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 Llama 4 Scout Chat cost?

Llama 4 Scout Chat costs $4.66 per million input tokens and $18.41 per million output tokens.

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