Comprehensive side-by-side LLM comparison
o1 leads with 17.8% higher average benchmark score. o1 offers 41.4K more tokens in context window than DeepSeek VL2. o1 is $4734.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
4 days newer

DeepSeek VL2
DeepSeek
2024-12-13

o1
OpenAI
2024-12-17
Cost per million tokens (USD)

DeepSeek VL2

o1
Context window and performance specifications
Average performance across 2 common benchmarks

DeepSeek VL2

o1
Available providers and their performance metrics

DeepSeek VL2
Replicate

o1

DeepSeek VL2

o1

DeepSeek VL2

o1
Azure
OpenAI