Compare anthropic/claude-opus-4 vs deepinfra/nemotron-nano-9b-v2

Model Comparison

Metric	claude-opus-4 anthropic	nemotron-nano-9b-v2 deepinfra
Pricing
Input Price	$15 / 1M tokens	$0.04 / 1M tokens
Output Price	$75 / 1M tokens	$0.16 / 1M tokens
Capabilities
Context Window	200K tokens	128K tokens
Capabilities	tools	tools
Input type	text, image	text
Category Scores
Overall Average	62.5	48.5
Maths	73.3	69.7
Finance	63.8	53.5
Science	75.0	57.9
Writing	56.8	39.7
Academia	66.9	47.1
Marketing	57.4	39.7
Programming	44.2	31.9
Benchmark Tests
HLE	11.7	4.6
AIME	75.7	_
GPQA	79.6	57.0
SciCode	39.8	22.0
MATH-500	98.2	_
MMLU-Pro	87.3	74.2
LiveCodeBench	63.6	72.4
AA Math Index	73.3	69.7
AA Coding Index	44.2	31.9
AAII	54.2	37.2

claude-opus-4 Advantages

• Higher benchmark scores (62.5 vs 48.5)
• Larger context window (200K tokens vs 128K tokens)

nemotron-nano-9b-v2 Advantages

• Lower input token cost ($0.04 / 1M tokens vs $15 / 1M tokens)

Compare anthropic/claude-opus-4 vs deepinfra/nemotron-nano-9b-v2