DeepSeek V4 Blog
Blog
Read the latest DeepSeek V4 model guides, product updates, and practical walkthroughs.
DeepSeek V4 Flash vs Claude Sonnet 4.6: Quality vs Cost in 2026
DeepSeek V4 Flash vs Claude Sonnet 4.6 compared — Sonnet 4.6 leads on knowledge and agentic tasks, V4 Flash costs 50x less. SWE-bench coding scores nearly tied. Full breakdown.
DeepSeek V4 Flash vs MiniMax M3: Efficient Open-Weight Models in 2026
DeepSeek V4 Flash vs MiniMax M3 — V4 Flash leads on price with known API pricing, M3 leads on agentic coding (SWE-bench Pro) and brings native multimodal and 15x faster inference.
DeepSeek V4 Pro vs GLM-5.1: The Closest Open-Weight Fight of 2026
DeepSeek V4 Pro vs GLM-5.1 compared on BenchLM, coding, knowledge, and agentic tasks. One point separates them on the leaderboard — here is what actually differs.
DeepSeek V4 Pro vs GPT-5.5: The 8x Price Gap and What It Actually Buys You
DeepSeek V4 Pro vs GPT-5.5 — GPT-5.5 leads benchmarks by 21 points but costs 8.6x more on output. What real developers are saying and when each model is actually worth it.
DeepSeek V4 Pro vs Kimi K2.6: Benchmarks, Real Tests, and What Users Actually Think
DeepSeek V4 Pro vs Kimi K2.6 — full benchmark comparison, real-world coding tests from kilo.ai, and what Reddit and Twitter users are actually saying in 2026.
DeepSeek V4 Pro vs MiniMax M3: Open-Weight Frontier Coding in 2026
DeepSeek V4 Pro vs MiniMax M3 — MiniMax M3 leads on SWE-bench Pro and BrowseComp, V4 Pro leads on LiveCodeBench and Codeforces. Full benchmark table, the ICLR paper demo, and community reaction.
Qwen 3.6 Plus vs DeepSeek V4 Flash: Route by Task, Not by Model
Qwen 3.6 Plus vs DeepSeek V4 Flash compared — Qwen leads on knowledge, V4 Flash leads on coding and is 7.7x cheaper. Edge case tests, pricing reality, and how to choose.
DeepSeek V4 API: Model IDs, Base URL, Thinking, and Tools
A practical DeepSeek V4 API setup guide for deepseek-v4-pro and deepseek-v4-flash.
DeepSeek V4 Benchmark: Pro and Flash Scores
DeepSeek V4 benchmark scores: Pro hits 87.5 MMLU-Pro, 93.5 LiveCodeBench, 80.6 SWE Verified; Flash trails closely at 86.2 / 91.6 / 79.0. Here is how to read Pro vs Flash.
DeepSeek V4 Paper: What Builders Should Notice
A builder-focused reading guide for the DeepSeek V4 paper and model card.
DeepSeek V4 Price: Pro vs Flash API Costs
DeepSeek V4 price per million tokens: Flash is $0.14 input / $0.28 output and Pro is $1.74 input / $3.48 output (cache-miss), plus cache-hit rates and how to choose Flash vs Pro.
DeepSeek V4 Size: Parameters, Active Parameters, and Context
DeepSeek V4 model size: Pro is 1.6T total / 49B active, Flash is 284B total / 13B active, both with a 1M token context window — plus what total vs active parameters mean for cost.
DeepSeek V4 Technical Report: Architecture, Training, and Benchmarks
A practical reading guide to the DeepSeek V4 technical report, covering MoE scale, million-token context, training pipeline, reasoning modes, and benchmark signals.
DeepSeek V4 vs Other Models: When Pro or Flash Makes Sense
A practical comparison of DeepSeek V4 Pro and Flash against other frontier and efficient model choices.