DeepSeek Janus: The Unified Multimodal Model, Tested and Explained
DeepSeek Janus unifies image understanding and generation in one open-weight model. See benchmarks, architecture and how to run it — start here.
Category Models
Comprehensive guides to every DeepSeek AI model including V3, V3.2, R1, Coder, Math, VL, and more. Compare capabilities, architecture, benchmarks, and real-world performance in one place.
DeepSeek V3.2 explained: sparse attention, benchmarks and what replaced it
DeepSeek V3.2 brought sparse attention and 50%+ cheaper API calls in 2025. See specs, benchmarks, pricing and V4 migration. Read the full breakdown now.
DeepSeek Coder: A Practitioner’s Guide to the Model Family
DeepSeek Coder explained: architecture, benchmarks, licensing and how to call it via the V4 API today. Compare sizes and pick the right tier.
DeepSeek R1 explained: benchmarks, pricing, and the V4 migration
DeepSeek R1: open-weight reasoning model with 97.3% on MATH-500, MIT-licensed weights, and a migration path to V4. Read the full breakdown.
DeepSeek V3 Explained: The 671B MoE That Reset Open-Weight Economics
DeepSeek V3 explained: 671B MoE architecture, benchmarks, and how it compares to V4. Read the full breakdown before migrating.
DeepSeek V4-Flash: The Cost-Efficient Tier of V4 Explained
DeepSeek V4-Flash: 284B MoE model with 1M context at $0.14/$0.28 per 1M tokens. See benchmarks, pricing and API setup — read the full breakdown.
DeepSeek V4-Pro review: the 1.6T open-weight frontier model
DeepSeek V4-Pro delivers 80.6% SWE-Bench Verified at $3.48/M output tokens. Review specs, pricing, and access routes below.
DeepSeek V4 Preview: Pro and Flash Tiers, 1M Context, Tested
DeepSeek V4 ships Pro and Flash tiers with 1M context and MIT weights. Compare specs, pricing, benchmarks — verify before migrating today.