Safety · DeepInfra

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

Llama 3 DeepInfra Base scores 77.0 on TruthfulQA, placing it #282 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
77.0
0–100 scale
Rank
#282
of 600
Percentile
53th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
14.1
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Llama 3 DeepInfra Base 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 Base sits at #282 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 14.1 points. The median model in this index scores 76.3, which puts Llama 3 DeepInfra Base above the midpoint.

DeepInfra models average 70.8 on this benchmark. Llama 3 DeepInfra Base is 6.2 points above that provider line, so it is a stronger result than the average DeepInfra model.

Among open-weight models, the average is 72.3. Llama 3 DeepInfra Base is 4.7 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 77.0 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 $2.95 per million input tokens, Llama 3 DeepInfra Base 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
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Seed-OSS ByteDance 32768 $3.74 75.3
ERNIE 4.0 Baidu 32768 $11.37 76.7
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Llama 3 Modal Chat Modal 65536 $3.55 73.3

Other benchmarks for Llama 3 DeepInfra Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.6 316 47th
GPQA Diamond 64.5 371 38th
SWE-bench Verified 58.2 352 41th
HumanEval 76.2 326 46th
MATH-500 75.9 302 50th
AIME 2025 67.5 302 50th
LiveCodeBench 63.5 332 45th
IFEval 79.7 339 44th
HellaSwag 83.8 287 52th
MMMU 67.6 351 42th
Arena Elo 1374.7 295 51th

FAQ

What score does Llama 3 DeepInfra Base get on TruthfulQA?

Llama 3 DeepInfra Base scores 77.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Llama 3 DeepInfra Base rank on TruthfulQA?

It ranks #282 of 600 models, in the 53rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Llama 3 DeepInfra Base 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 Base cost?

Llama 3 DeepInfra Base costs $2.95 per million input tokens and $15.78 per million output tokens.

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