Knowledge · xAI

Grok 3 Nano on MMLU-Pro: score, rank and what it means

Grok 3 Nano scores 72.1 on MMLU-Pro, placing it #383 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
72.1
0–100 scale
Rank
#383
of 600
Percentile
36th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
19.5
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Grok 3 Nano 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 3 Nano sits at #383 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 19.5 points. The median model in this index scores 76.1, which puts Grok 3 Nano below the midpoint.

xAI models average 82.9 on this benchmark. Grok 3 Nano is 10.8 points below that provider line, so it is a weaker result than the average xAI model.

Among mid-range models, the average is 71.5. Grok 3 Nano is 0.6 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 72.1 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 $7.12 per million input tokens, Grok 3 Nano 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
Phi-3.5 Base Microsoft 65536 $2.24 66.6
Arctic Instruct Snowflake 65536 $2.83 70.6
Firesearch Reasoning Fireworks AI 32768 $7.74 69.0
Firesearch Max Fireworks AI 8192 $7.80 69.9
Grok 3 Nano xAI 8192 $7.12 67.8
Firesearch Fireworks AI 32768 $7.03 68.5
Gemini 2.5 Pro Nano Google DeepMind 32768 $7.28 69.2

Other benchmarks for Grok 3 Nano

BenchmarkScoreRankPercentileRelative
GPQA Diamond 65.0 360 40th
SWE-bench Verified 55.1 384 36th
HumanEval 71.4 384 36th
MATH-500 71.6 372 38th
AIME 2025 62.3 374 38th
LiveCodeBench 57.5 392 35th
IFEval 76.3 384 36th
TruthfulQA 70.6 394 34th
HellaSwag 79.8 381 37th
MMMU 63.6 394 34th
Arena Elo 1349.0 366 39th

FAQ

What score does Grok 3 Nano get on MMLU-Pro?

Grok 3 Nano scores 72.1 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Grok 3 Nano rank on MMLU-Pro?

It ranks #383 of 600 models, in the 36th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Grok 3 Nano good at MMLU-Pro?

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 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 3 Nano cost?

Grok 3 Nano costs $7.12 per million input tokens and $37.59 per million output tokens.

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