Safety · Groq

Llama 3.3 Groq 8B on TruthfulQA: score, rank and what it means

Llama 3.3 Groq 8B scores 64.7 on TruthfulQA, placing it #462 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
64.7
0–100 scale
Rank
#462
of 600
Percentile
23th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
26.4
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Llama 3.3 Groq 8B 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 3.3 Groq 8B sits at #462 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 26.4 points. The median model in this index scores 76.3, which puts Llama 3.3 Groq 8B below the midpoint.

Groq models average 70.2 on this benchmark. Llama 3.3 Groq 8B is 5.5 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 59.9. Llama 3.3 Groq 8B is 4.8 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 64.7 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 $1.17 per million input tokens, Llama 3.3 Groq 8B 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
Zephyr Base Hugging Face 4096 $1.26 59.5
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Zephyr Chat Hugging Face 4096 $1.49 61.3

Other benchmarks for Llama 3.3 Groq 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.6 493 18th
GPQA Diamond 57.3 435 28th
SWE-bench Verified 46.9 447 26th
HumanEval 61.6 473 21th
MATH-500 60.1 462 23th
AIME 2025 50.6 455 24th
LiveCodeBench 47.7 469 22th
IFEval 70.4 453 25th
HellaSwag 75.3 437 27th
MMMU 57.3 466 22th
Arena Elo 1277.4 449 25th

FAQ

What score does Llama 3.3 Groq 8B get on TruthfulQA?

Llama 3.3 Groq 8B scores 64.7 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Llama 3.3 Groq 8B rank on TruthfulQA?

It ranks #462 of 600 models, in the 23rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Llama 3.3 Groq 8B good at TruthfulQA?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 3.3 Groq 8B cost?

Llama 3.3 Groq 8B costs $1.17 per million input tokens and $6.16 per million output tokens.

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