Reasoning · NVIDIA

Nemotron Nano Chat on GPQA Diamond: score, rank and what it means

Nemotron Nano Chat scores 59.8 on GPQA Diamond, placing it #408 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
59.8
0–100 scale
Rank
#408
of 600
Percentile
32th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
27.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Nemotron Nano Chat 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, Nemotron Nano Chat sits at #408 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 27.2 points. The median model in this index scores 68.8, which puts Nemotron Nano Chat below the midpoint.

NVIDIA models average 57.5 on this benchmark. Nemotron Nano Chat is 2.3 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 63.6. Nemotron Nano Chat is 3.8 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 59.8 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 $2.21 per million input tokens, Nemotron Nano Chat is below 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
Reka Flash Mini Reka AI 16384 $5.77 65.5
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Fusion Mini OpenRouter 4096 $4.89 63.3
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1

Other benchmarks for Nemotron Nano Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.7 391 35th
SWE-bench Verified 54.0 393 35th
HumanEval 71.6 382 36th
MATH-500 67.7 402 33th
AIME 2025 61.5 379 37th
LiveCodeBench 54.4 410 32th
IFEval 74.2 403 33th
TruthfulQA 70.2 397 34th
HellaSwag 79.8 382 36th
MMMU 64.6 384 36th
Arena Elo 1331.6 386 36th

FAQ

What score does Nemotron Nano Chat get on GPQA Diamond?

Nemotron Nano Chat scores 59.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Nemotron Nano Chat rank on GPQA Diamond?

It ranks #408 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Nemotron Nano Chat 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 Nemotron Nano Chat cost?

Nemotron Nano Chat costs $2.21 per million input tokens and $9.38 per million output tokens.

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