Knowledge · xAI

Grok 4 Mini on MMLU-Pro: score, rank and what it means

Grok 4 Mini scores 79.5 on MMLU-Pro, placing it #195 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
79.5
0–100 scale
Rank
#195
of 600
Percentile
68th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
12.1
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Grok 4 Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Grok 4 Mini sits at #195 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 12.1 points. The median model in this index scores 76.1, which puts Grok 4 Mini above the midpoint.

xAI models average 82.9 on this benchmark. Grok 4 Mini is 3.4 points below that provider line, so it is a weaker result than the average xAI model.

Among multimodal models, the average is 80.0. Grok 4 Mini is 0.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 79.5 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 $12.21 per million input tokens, Grok 4 Mini is above the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Seed-OSS ByteDance 32768 $3.74 75.3
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5
Grok 4 Mini xAI 65536 $12.21 77.9
Llama 3.1 Instruct Meta AI 200000 $4.05 75.7
Nova Pro Reasoning Amazon 200000 $13.48 79.4

Other benchmarks for Grok 4 Mini

BenchmarkScoreRankPercentileRelative
GPQA Diamond 75.4 134 78th
SWE-bench Verified 69.3 124 79th
HumanEval 83.5 144 76th
MATH-500 79.4 224 63th
AIME 2025 73.5 197 67th
LiveCodeBench 71.6 158 74th
IFEval 84.4 203 66th
TruthfulQA 79.1 211 65th
HellaSwag 87.1 172 71th
MMMU 74.6 168 72th
Arena Elo 1423.4 132 78th

FAQ

What score does Grok 4 Mini get on MMLU-Pro?

Grok 4 Mini scores 79.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Grok 4 Mini rank on MMLU-Pro?

It ranks #195 of 600 models, in the 68th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Grok 4 Mini good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 Grok 4 Mini cost?

Grok 4 Mini costs $12.21 per million input tokens and $65.41 per million output tokens.

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