Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
1 month newer

DeepSeek VL2 Small
DeepSeek
2024-12-13

DeepSeek-R1
DeepSeek
2025-01-20
Context window and performance specifications
Available providers and their performance metrics

DeepSeek VL2 Small

DeepSeek-R1
DeepInfra

DeepSeek VL2 Small

DeepSeek-R1

DeepSeek VL2 Small

DeepSeek-R1
DeepSeek
Fireworks
Together
ZeroEval