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Model Comparison

deepseek-chat-v3.1vsgemini-2.5-pro-preview

Model Comparison

Compare performance, benchmarks, and characteristics

deepseek-chat-v3.1

deepinfra

Context163840 tokens

Input Price$0.3 / 1M tokens

Output Price$1 / 1M tokens

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gemini-2.5-pro-preview

gemini

Context1M tokens

Input Price$1.25 / 1M tokens

Output Price$10 / 1M tokens

View Details →

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Model Comparison

Metric	deepseek-chat-v3.1 deepinfra	gemini-2.5-pro-preview gemini
Pricing
Input Price	$0.3 / 1M tokens	$1.25 / 1M tokens
Output Price	$1 / 1M tokens	$10 / 1M tokens
Capabilities
Context Window	163840 tokens	1M tokens
Capabilities	tools	tools
Input type	text	text, image, audio, video
Category Scores
Overall Average	47.3	84.2
Academia	59.1	N/A
Marketing	32.0	N/A
Programming	47.2	N/A
Science	73.5	86.4
Writing	24.9	N/A
Vision	N/A	82.0
Benchmark Tests
AA Coding Index	47.2	_
AAII	44.8	_
GPQA	73.5	86.4
HLE	6.3	_
LiveCodeBench	57.7	_
MMLU-Pro	83.3	_
MMMU	_	82.0
SciCode	36.7	_

deepseek-chat-v3.1 Advantages

• Lower input token cost ($0.3 / 1M tokens vs $1.25 / 1M tokens)

gemini-2.5-pro-preview Advantages

• Higher benchmark scores (84.2 vs 47.3)
• Larger context window (1M tokens vs 163840 tokens)

Compare deepinfra/deepseek-chat-v3.1 vs gemini/gemini-2.5-pro-preview