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Model Comparison

QwQ-32B-Previewvsclaude-opus-4

Model Comparison

Compare performance, benchmarks, and characteristics

QwQ-32B-Preview

togetherai

Context32768 tokens

Input Price$1.2 / 1M tokens

Output Price$1.2 / 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	QwQ-32B-Preview togetherai	claude-opus-4 anthropic
Pricing
Input Price	$1.2 / 1M tokens	$15 / 1M tokens
Output Price	$1.2 / 1M tokens	$75 / 1M tokens
Capabilities
Context Window	32768 tokens	200K tokens
Capabilities		tools
Input type	text	text, image
Category Scores
Overall Average	41.0	55.9
Academia	46.6	70.1
Finance	48.1	N/A
Marketing	20.3	43.5
Maths	68.2	N/A
Programming	18.7	53.1
Science	65.2	80.9
Writing	20.0	32.0
Benchmark Tests
AIME	45.3	_
AA Coding Index	18.7	53.1
AAII	28.0	59.3
AA Math Index	68.2	_
GPQA	65.2	80.9
HLE	4.8	11.9
LiveCodeBench	33.7	65.4
MATH-500	91.0	_
MMLU-Pro	64.8	88.0
SciCode	3.8	40.9

QwQ-32B-Preview Advantages

• Lower input token cost ($1.2 / 1M tokens vs $15 / 1M tokens)

claude-opus-4 Advantages

• Higher benchmark scores (55.9 vs 41.0)
• Larger context window (200K tokens vs 32768 tokens)

Compare togetherai/QwQ-32B-Preview vs anthropic/claude-opus-4