Compare deepinfra/qwen2.5-vl-32b-instruct vs gemini/gemini-3-pro-preview

Model Comparison

Metric	qwen2.5-vl-32b-instruct deepinfra	gemini-3-pro-preview gemini
Pricing
Input Price	$0.2 / 1M tokens	$2 / 1M tokens
Output Price	$0.6 / 1M tokens	$12 / 1M tokens
Capabilities
Context Window	128K tokens	1M tokens
Capabilities		tools, reasoning
Input type	text, image	text, image, audio, video
Category Scores
Overall Average	0.0	80.1
Maths	N/A	95.7
Finance	N/A	84.3
Science	N/A	84.7
Writing	N/A	75.1
Academia	N/A	82.1
Marketing	N/A	76.6
Programming	N/A	62.3
Benchmark Tests
HLE	_	37.2
GPQA	_	91.3
SciCode	_	56.1
MMLU-Pro	_	89.8
LiveCodeBench	_	91.7
AA Math Index	_	95.7
AA Coding Index	_	62.3
AAII	_	72.8

qwen2.5-vl-32b-instruct Advantages

• Lower input token cost ($0.2 / 1M tokens vs $2 / 1M tokens)

gemini-3-pro-preview Advantages

• Higher benchmark scores (80.1 vs 0.0)
• Larger context window (1M tokens vs 128K tokens)

Compare deepinfra/qwen2.5-vl-32b-instruct vs gemini/gemini-3-pro-preview