Safety · Groq

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

Mixtral Groq Base scores 74.9 on TruthfulQA, placing it #332 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
74.9
0–100 scale
Rank
#332
of 600
Percentile
45th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
16.2
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Mixtral Groq 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, Mixtral Groq Base sits at #332 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 16.2 points. The median model in this index scores 76.3, which puts Mixtral Groq Base below the midpoint.

Groq models average 70.2 on this benchmark. Mixtral Groq Base is 4.7 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 Base is 2.6 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 74.9 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 $2.66 per million input tokens, Mixtral Groq 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
Firesearch Fireworks AI 32768 $7.03 68.5
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Nova Lite Max Amazon 200000 $9.79 73.4
Fusion OpenRouter 16384 $8.41 71.1
Mixtral Groq Base Groq 32768 $2.66 68.4
Firefunction Pro Fireworks AI 16384 $9.05 72.9
Grok 4 Nano xAI 16384 $8.97 72.7

Other benchmarks for Mixtral Groq Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.0 389 35th
GPQA Diamond 64.4 374 38th
SWE-bench Verified 54.9 386 36th
HumanEval 71.8 381 37th
MATH-500 70.9 381 37th
AIME 2025 64.5 349 42th
LiveCodeBench 58.8 380 37th
IFEval 76.3 385 36th
HellaSwag 81.1 368 39th
MMMU 64.0 390 35th
Arena Elo 1335.6 381 37th

FAQ

What score does Mixtral Groq Base get on TruthfulQA?

Mixtral Groq Base scores 74.9 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Mixtral Groq Base rank on TruthfulQA?

It ranks #332 of 600 models, in the 45th percentile. The leader is GPT-5.1 Max at 91.1.

Is Mixtral Groq Base 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 Base cost?

Mixtral Groq Base costs $2.66 per million input tokens and $11.35 per million output tokens.

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