Safety · DeepInfra

Llama 3 DeepInfra Chat on TruthfulQA: score, rank and what it means

Llama 3 DeepInfra Chat scores 78.3 on TruthfulQA, placing it #244 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
78.3
0–100 scale
Rank
#244
of 600
Percentile
59th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
12.8
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Llama 3 DeepInfra 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 3 DeepInfra Chat sits at #244 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 12.8 points. The median model in this index scores 76.3, which puts Llama 3 DeepInfra Chat above the midpoint.

DeepInfra models average 70.8 on this benchmark. Llama 3 DeepInfra Chat is 7.5 points above that provider line, so it is a stronger result than the average DeepInfra model.

Among multimodal models, the average is 80.1. Llama 3 DeepInfra Chat is 1.8 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 78.3 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 $3.74 per million input tokens, Llama 3 DeepInfra Chat 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
Llama 3.1 Meta AI 200000 $4.16 76.3
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Yi-Large Chat 01.AI 65536 $3.49 73.5
Command R+ Instruct Cohere 200000 $4.16 76.2
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
Llama 3 Lambda Lambda 65536 $3.90 75.6
Magistral Instruct Mistral AI 65536 $4.48 78.4

Other benchmarks for Llama 3 DeepInfra Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.8 281 53th
GPQA Diamond 69.0 295 51th
SWE-bench Verified 65.5 204 66th
HumanEval 77.3 304 49th
MATH-500 80.6 198 67th
AIME 2025 72.5 209 65th
LiveCodeBench 67.8 230 62th
IFEval 81.4 291 52th
HellaSwag 83.6 299 50th
MMMU 72.1 240 60th
Arena Elo 1376.4 286 52th

FAQ

What score does Llama 3 DeepInfra Chat get on TruthfulQA?

Llama 3 DeepInfra Chat scores 78.3 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Llama 3 DeepInfra Chat rank on TruthfulQA?

It ranks #244 of 600 models, in the 59th percentile. The leader is GPT-5.1 Max at 91.1.

Is Llama 3 DeepInfra 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 3 DeepInfra Chat cost?

Llama 3 DeepInfra Chat costs $3.74 per million input tokens and $15.32 per million output tokens.

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