Safety · Groq

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

Mixtral Groq scores 78.6 on TruthfulQA, placing it #235 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
78.6
0–100 scale
Rank
#235
of 600
Percentile
61th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
12.5
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Mixtral Groq 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 sits at #235 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 12.5 points. The median model in this index scores 76.3, which puts Mixtral Groq above the midpoint.

Groq models average 70.2 on this benchmark. Mixtral Groq is 8.4 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 72.3. Mixtral Groq is 6.3 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 78.6 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 $3.37 per million input tokens, Mixtral Groq 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
Fusion Max OpenRouter 65536 $9.14 72.5
Gemma 3 Google DeepMind 65536 $3.68 73.6
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
Llama 3 Novita Novita AI 128000 $3.70 74.4
Mixtral Groq Groq 16384 $3.37 73.1
Reka Flash Max Reka AI 32768 $11.17 75.9
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5

Other benchmarks for Mixtral Groq

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.1 331 45th
GPQA Diamond 66.1 343 43th
SWE-bench Verified 62.0 281 53th
HumanEval 78.7 271 55th
MATH-500 74.9 329 45th
AIME 2025 67.5 303 50th
LiveCodeBench 64.1 314 48th
IFEval 81.2 300 50th
HellaSwag 85.0 247 59th
MMMU 70.7 280 53th
Arena Elo 1388.6 254 58th

FAQ

What score does Mixtral Groq get on TruthfulQA?

Mixtral Groq scores 78.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Mixtral Groq rank on TruthfulQA?

It ranks #235 of 600 models, in the 61st percentile. The leader is GPT-5.1 Max at 91.1.

Is Mixtral Groq 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 Mixtral Groq cost?

Mixtral Groq costs $3.37 per million input tokens and $15.23 per million output tokens.

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