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Model Comparison

nemotron-nano-9b-v2vsclaude-opus-4

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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claude-opus-4

anthropic

Context200K tokens

Input Price$15 / 1M tokens

Output Price$75 / 1M tokens

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Model Comparison

Metric	nemotron-nano-9b-v2 deepinfra	claude-opus-4 anthropic
Pricing
Input Price	$0.04 / 1M tokens	$15 / 1M tokens
Output Price	$0.16 / 1M tokens	$75 / 1M tokens
Capabilities
Context Window	128K tokens	200K tokens
Capabilities	tools	tools
Input type	text	text, image
Category Scores
Overall Average	50.4	69.1
Academia	47.0	70.1
Finance	53.3	69.8
Marketing	38.9	68.5
Maths	69.7	80.3
Programming	47.2	53.1
Science	57.9	76.0
Writing	39.0	65.8
Benchmark Tests
AA Coding Index	47.2	53.1
AAII	36.9	59.3
AA Math Index	69.7	80.3
GPQA	57.0	80.9
HLE	4.6	11.9
LiveCodeBench	72.4	65.4
MMLU-Pro	74.2	88.0
SciCode	22.0	40.9

nemotron-nano-9b-v2 Advantages

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

claude-opus-4 Advantages

• Higher benchmark scores (69.1 vs 50.4)
• Larger context window (200K tokens vs 128K tokens)

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