Reasoning · xAI

Grok 3 Nano on GPQA Diamond: score, rank and what it means

Grok 3 Nano scores 65.0 on GPQA Diamond, placing it #360 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
65.0
0–100 scale
Rank
#360
of 600
Percentile
40th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
22.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Grok 3 Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Grok 3 Nano sits at #360 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 22.0 points. The median model in this index scores 68.8, which puts Grok 3 Nano below the midpoint.

xAI models average 77.8 on this benchmark. Grok 3 Nano is 12.8 points below that provider line, so it is a weaker result than the average xAI model.

Among mid-range models, the average is 62.9. Grok 3 Nano is 2.1 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 65.0 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Firesearch Max Fireworks AI 8192 $7.80 69.9
Nemotron Nano NVIDIA 8192 $2.24 66.6
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Firesearch Fireworks AI 32768 $7.03 68.5
Grok 3 Nano xAI 8192 $7.12 67.8
Qwen3-Max Nano Alibaba Cloud 65536 $8.31 71.7
Phi-3.5 Chat Microsoft 16384 $2.64 69.0

Other benchmarks for Grok 3 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.1 383 36th
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 GPQA Diamond?

Grok 3 Nano scores 65.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Grok 3 Nano rank on GPQA Diamond?

It ranks #360 of 600 models, in the 40th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Grok 3 Nano good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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