Safety · Groq

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

Mixtral Groq 8B scores 63.1 on TruthfulQA, placing it #489 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
63.1
0–100 scale
Rank
#489
of 600
Percentile
19th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
28.0
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Mixtral 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, Mixtral Groq 8B sits at #489 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 28.0 points. The median model in this index scores 76.3, which puts Mixtral Groq 8B below the midpoint.

Groq models average 70.2 on this benchmark. Mixtral Groq 8B is 7.1 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. Mixtral Groq 8B is 3.2 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 63.1 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 $0.77 per million input tokens, Mixtral 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
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Llama 3.3 7B Meta AI 8192 $1.18 57.8
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Llama 3 Baseten 8B Baseten 4096 $1.02 57.0
Mixtral Groq 8B Groq 32768 $0.77 54.8
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4

Other benchmarks for Mixtral Groq 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.3 525 13th
GPQA Diamond 50.9 512 15th
SWE-bench Verified 38.4 534 11th
HumanEval 56.5 535 11th
MATH-500 53.9 528 12th
AIME 2025 46.6 481 20th
LiveCodeBench 45.4 497 17th
IFEval 65.1 531 12th
HellaSwag 71.6 507 16th
MMMU 51.1 542 10th
Arena Elo 1247.2 494 18th

FAQ

What score does Mixtral Groq 8B get on TruthfulQA?

Mixtral Groq 8B scores 63.1 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Mixtral Groq 8B rank on TruthfulQA?

It ranks #489 of 600 models, in the 19th percentile. The leader is GPT-5.1 Max at 91.1.

Is Mixtral 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 Mixtral Groq 8B cost?

Mixtral Groq 8B costs $0.77 per million input tokens and $3.79 per million output tokens.

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