Compare deepinfra/nemotron-nano-9b-v2 vs gemini/gemini-3-pro-preview

Model Comparison

Metric	nemotron-nano-9b-v2 deepinfra	gemini-3-pro-preview gemini
Pricing
Input Price	$0.04 / 1M tokens	$2 / 1M tokens
Output Price	$0.16 / 1M tokens	$12 / 1M tokens
Capabilities
Context Window	128K tokens	1M tokens
Capabilities	tools	tools, reasoning
Input type	text	text, image, audio, video
Category Scores
Overall Average	48.5	80.1
Maths	69.7	95.7
Finance	53.5	84.3
Science	57.9	84.7
Writing	39.7	75.1
Academia	47.1	82.1
Marketing	39.7	76.6
Programming	31.9	62.3
Benchmark Tests
HLE	4.6	37.2
GPQA	57.0	91.3
SciCode	22.0	56.1
MMLU-Pro	74.2	89.8
LiveCodeBench	72.4	91.7
AA Math Index	69.7	95.7
AA Coding Index	31.9	62.3
AAII	37.2	72.8

nemotron-nano-9b-v2 Advantages

• Lower input token cost ($0.04 / 1M tokens vs $2 / 1M tokens)

gemini-3-pro-preview Advantages

• Higher benchmark scores (80.1 vs 48.5)
• Larger context window (1M tokens vs 128K tokens)

Compare deepinfra/nemotron-nano-9b-v2 vs gemini/gemini-3-pro-preview