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Model Comparison

deepseek-r1-0528-qwen3-8bvsclaude-opus-4

Model Comparison

Compare performance, benchmarks, and characteristics

deepseek-r1-0528-qwen3-8b

parasail

Context131072 tokens

Input Price$0.05 / 1M tokens

Output Price$0.1 / 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	deepseek-r1-0528-qwen3-8b parasail	claude-opus-4 anthropic
Pricing
Input Price	$0.05 / 1M tokens	$15 / 1M tokens
Output Price	$0.1 / 1M tokens	$75 / 1M tokens
Capabilities
Context Window	131072 tokens	200K tokens
Capabilities		tools
Input type	text	text, image
Category Scores
Overall Average	68.7	55.9
Academia	66.7	70.1
Finance	72.9	N/A
Marketing	60.1	43.5
Maths	93.8	N/A
Programming	58.7	53.1
Science	81.3	80.9
Writing	47.5	32.0
Benchmark Tests
AIME	89.3	_
AA Coding Index	58.7	53.1
AAII	52.0	59.3
AA Math Index	93.8	_
DROP	92.2	_
GPQA	81.3	80.9
HLE	14.9	11.9
LiveCodeBench	77.0	65.4
MATH-500	98.3	_
MMLU	90.8	_
MMLU-Pro	84.5	88.0
SciCode	40.3	40.9

deepseek-r1-0528-qwen3-8b Advantages

• Higher benchmark scores (68.7 vs 55.9)
• Lower input token cost ($0.05 / 1M tokens vs $15 / 1M tokens)

claude-opus-4 Advantages

• Larger context window (200K tokens vs 131072 tokens)

Compare parasail/deepseek-r1-0528-qwen3-8b vs anthropic/claude-opus-4