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Model Comparison

qwen-2.5-7b-instructvsclaude-opus-4

Model Comparison

Compare performance, benchmarks, and characteristics

qwen-2.5-7b-instruct

deepinfra

Context32768 tokens

Input Price$0.04 / 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	qwen-2.5-7b-instruct deepinfra	claude-opus-4 anthropic
Pricing
Input Price	$0.04 / 1M tokens	$15 / 1M tokens
Output Price	$0.1 / 1M tokens	$75 / 1M tokens
Capabilities
Context Window	32768 tokens	200K tokens
Capabilities		tools
Input type	text	text, image
Category Scores
Overall Average	36.4	55.9
Science	36.4	80.9
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	36.4	80.9
HLE	_	11.9
HumanEval	84.8	_
LiveCodeBench	_	65.4
MMLU-Pro	56.3	88.0
SciCode	_	40.9

qwen-2.5-7b-instruct Advantages

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

claude-opus-4 Advantages

• Higher benchmark scores (55.9 vs 36.4)
• Larger context window (200K tokens vs 32768 tokens)

Compare deepinfra/qwen-2.5-7b-instruct vs anthropic/claude-opus-4