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Model Comparison

nemotron-nano-9b-v2vsgemini-2.5-pro-preview

Model Comparison

Compare performance, benchmarks, and characteristics

nemotron-nano-9b-v2

deepinfra

Context128K tokens

Input Price$0.04 / 1M tokens

Output Price$0.16 / 1M tokens

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gemini-2.5-pro-preview

gemini

Context1M tokens

Input Price$1.25 / 1M tokens

Output Price$10 / 1M tokens

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Model Comparison

Metric	nemotron-nano-9b-v2 deepinfra	gemini-2.5-pro-preview gemini
Pricing
Input Price	$0.04 / 1M tokens	$1.25 / 1M tokens
Output Price	$0.16 / 1M tokens	$10 / 1M tokens
Capabilities
Context Window	128K tokens	1M tokens
Capabilities	tools	tools
Input type	text	text, image, audio, video
Category Scores
Overall Average	50.4	84.7
Academia	47.0	N/A
Finance	53.3	N/A
Marketing	38.9	N/A
Maths	69.7	N/A
Programming	47.2	N/A
Science	57.9	85.6
Writing	39.0	86.4
Vision	N/A	82.0
Benchmark Tests
AA Coding Index	47.2	_
AAII	36.9	_
AA Math Index	69.7	_
GPQA	57.0	86.4
HLE	4.6	_
LiveCodeBench	72.4	_
MMLU-Pro	74.2	_
MMMU	_	82.0
SciCode	22.0	_

nemotron-nano-9b-v2 Advantages

• Lower input token cost ($0.04 / 1M tokens vs $1.25 / 1M tokens)

gemini-2.5-pro-preview Advantages

• Higher benchmark scores (84.7 vs 50.4)
• Larger context window (1M tokens vs 128K tokens)

Compare deepinfra/nemotron-nano-9b-v2 vs gemini/gemini-2.5-pro-preview