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Model Comparison

gpt-4.1-nanovsclaude-opus-4

Model Comparison

Compare performance, benchmarks, and characteristics

gpt-4.1-nano

openai

Context1047576 tokens

Input Price$0.1 / 1M tokens

Output Price$0.4 / 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	gpt-4.1-nano openai	claude-opus-4 anthropic
Pricing
Input Price	$0.1 / 1M tokens	$15 / 1M tokens
Output Price	$0.4 / 1M tokens	$75 / 1M tokens
Capabilities
Context Window	1047576 tokens	200K tokens
Capabilities	tools	tools
Input type	text, image	text, image
Category Scores
Overall Average	52.9	55.9
Science	50.3	80.9
Vision	55.4	N/A
Academia	N/A	70.1
Marketing	N/A	43.5
Programming	N/A	53.1
Writing	N/A	32.0
Benchmark Tests
AA Coding Index	_	53.1
AAII	_	59.3
GPQA	50.3	80.9
HLE	_	11.9
LiveCodeBench	_	65.4
MMLU	80.1	_
MMLU-Pro	_	88.0
MMMU	55.4	_
SciCode	_	40.9

gpt-4.1-nano Advantages

• Lower input token cost ($0.1 / 1M tokens vs $15 / 1M tokens)
• Larger context window (1047576 tokens vs 200K tokens)

claude-opus-4 Advantages

• Higher benchmark scores (55.9 vs 52.9)

Compare openai/gpt-4.1-nano vs anthropic/claude-opus-4