A collection of 24 posts
DeepSeek-V4.1-Flash (10 Sept 2026): 552B MoE with 8B/16B active, 1M context, MIT weights, $0.30/$1.20 per 1M peak. Why V4-Pro was not deprecated after all, what the 90.6 Terminal-Bench score really means, and what running it locally takes.
The most cost-efficient near-frontier AI models in 2026, ranked by blended cost-per-task. DeepSeek V4-Flash leads at ~$0.06/M — 36-89x cheaper than the flagships. Master pricing table + a real monthly-bill breakdown.
Qwen 3.7 Flash ($0.03/$0.13) vs DeepSeek V4-Flash ($0.14/$0.28): which budget open-weight-tier coding model is actually cheapest, with a worked monthly bill and honest caveats.
DeepSeek V4 is 3.5-6x cheaper per token than Kimi K3 after the August 2026 price change. A cost-per-task comparison of two open-weight giants: pricing table, worked monthly bill, and exactly when K3's native vision and front-end coding earn the premium.
DeepSeek V4-Flash costs $0.14/$0.28 vs Claude Opus 5 at $5/$25 - 36x cheaper input and 89x cheaper output today, and 18x/29x blended once DeepSeek's August 16 price rise lands. Worked monthly bills, benchmarks, and how to route bulk work cheap.
DeepSeek V4-Flash costs ~5x less input and ~16x less output than Gemini 3.5 Flash. Full pricing table, a worked monthly bill, and an honest look at where Gemini's multimodal premium is worth paying.
DeepSeek V4 vs GPT-5.6 on cost after DeepSeek's Aug 16 price rise — blended multipliers, full pricing tables, a worked monthly bill, and honest verdicts.
DeepSeek V4-Flash costs $0.14 per million tokens — 36x cheaper than Claude Opus 5. A full cost comparison against GPT-5.6, Kimi K3 and Gemini 3.5, with real monthly-bill math.
DeepSeek V4 and Qwen 3.7 post near-identical coding benchmarks, but only one is actually open. A specifics-first comparison of architecture, local-run feasibility, API pricing, and license for developers choosing a coding model in 2026.
How Moonshot's open-weight Kimi K2.7 Code stacks up against Claude Opus 4.8, GPT-5.5, and DeepSeek V4 for agentic coding — on price, context, and the benchmarks that exist. K2.7's scores are Moonshot-reported only, so the verdict is subject to change once independent results land.
Kimi K2.6 vs DeepSeek V4 vs GLM-5.1 for coding in 2026 — sourced benchmarks, real cost-per-task, self-host and license comparison, plus a clear pick-X-if decision block.
A single tiered table for DeepSeek V4 Pro vs Flash VRAM at every quantization (FP8, FP4+FP8, INT4, Q2) — triangulated across official and community sources.
Install the Cline agent in Cursor and point it at DeepSeek V4 — real config JSON, Pro vs Flash guidance, the reasoning_content gotcha, and a cost worked example.
Wire DeepSeek V4 Pro or V4 Flash into Cursor as a custom model, handle the Composer reasoning_content caveat, and migrate off the deepseek-chat alias before the July 24, 2026 deadline.
DeepSeek V4 Flash is the under-covered story of the V4 release. Requests now serve V4.1-Flash, which scores 39.46 on Artificial Analysis's Intelligence Index v4.3.2 against V4 Pro's 36.00 — and costs 2.5x less per completed task. 1M context, peak/off-peak pricing, and it fits on a Mac Studio.
A deep, engineer-focused comparison of DeepSeek V4 Pro vs DeepSeek V4 Flash: benchmarks, pricing, speed, local deployment, and a decision tree for picking the right variant for your workload in 2026.
Honest review of DeepSeek V4-Pro. Current $0.66/$1.98 off-peak pricing, 96.4% SWE-bench Verified on Vals' neutral harness, and where Claude still wins.
Quick answer. The DeepSeek V4 API is OpenAI-compatible. Point any OpenAI SDK at https://api.deepseek.com, set your key, and call deepseek-v4-pro (top reasoning/agentic) or deepseek-v4-flash (cheap, fast). Minimal request: curl https://api.deepseek.com/chat/completions -H "Authorization: Bearer $DEEPSEEK_API_KEY" -H "Content-Type:
Learn how to run DeepSeek V4 Flash locally with vLLM, hardware requirements, install steps, benchmarks, pricing, and real‑world usage examples.
DeepSeek V4 vs V3.2: correct specs for V4-Pro (1.6T/49B) and V4-Flash (284B/13B), real benchmarks from HuggingFace, updated pricing, API migration deadline, and a clear recommendation.
DeepSeek V4 is out — Pro and Flash tiers, MIT license, 1M context, and pricing that undercuts the frontier by up to 11×. Here's how it stacks up against Qwen3.5, Kimi K2.5, MiniMax M2.7, GPT-5.4, and Claude Opus 4.6.
DeepSeek V4 launched April 24, 2026 with V4-Pro (1.6T params) and V4-Flash. Here's everything developers need: specs, benchmarks, pricing, and how to migrate from deepseek-chat.
DeepSeek V4 is officially released. This article covers the real architecture (CSA+HCA, mHC, Muon), verified benchmarks for V4-Pro and V4-Flash, correct model specs, and exact API pricing to start using DeepSeek V4 today.
DeepSeek V4 is released. Compare V3 vs V4-Pro vs V4-Flash on confirmed specs, benchmarks, and API pricing — no speculation, only real data from the April 2026 launch.