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DEEPSEEK
All blog posts, tools, and guides about DeepSeek from Developers Digest.
21 resources - 17 posts, 4 tools
Blog Posts
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DeepSeek V4 Flash Is 90% Off Through Novita on Vercel AI Gateway: The Cost Math
DeepSeek V4 Flash routed to Novita on Vercel AI Gateway is 90% off for Pro customers through August 11, dropping the effective rate to $0.014 input / $0.028 output per million tokens. Here is the verified before/after math, the provider-pinning setup, and what a 10x cheap agent loop means for routing decisions.
6 min read
Budget AI Coding Models Compared August 2026: V4 Flash vs Luna vs Gemini 3.5 Flash vs Haiku 4.5
The sub-$1.50 coding tier just got serious: DeepSeek V4 Flash 0731 posts frontier-adjacent agent scores at $0.14/$0.28 (peak/off-peak pricing from Aug 16), GPT-5.6 Luna dropped 80% to $0.20/$1.20, and Gemini 3.5 Flash and Claude Haiku 4.5 hold the hosted middle. Prices verified July 31 and August 15, 2026.
10 min read
DeepSeek V4 Flash 0731: The Budget Tier Just Overtook Pro Preview on Agent Benchmarks
DeepSeek re-post-trained V4 Flash into an agent workhorse: Terminal Bench 82.7, DeepSWE 54.4, native Responses API, and first-party Codex support - all at $0.14/$0.28 per million tokens. What changed, what the numbers actually mean, and how to wire it up today.
9 min read
DeepSeek V4 Flash 0731: The Official Release, Benchmarks, and How to Run It in OpenCode
DeepSeek shipped the official V4 Flash release on July 31, 2026. The re-post-trained 0731 build beats V4-Pro-Preview on agent benchmarks at $0.14/$0.28 per million tokens. Here is what changed and how to run it through OpenCode today.
7 min read
DeepSeek Pauses Fundraising After Leaked Investor Transcript Reveals Compute Gap
DeepSeek suspended its $74B valuation fundraising round after a leaked transcript of founder Liang Wenfeng's investor meeting laid bare the compute gap between Chinese and US AI labs - revealing he needed 200,000 Huawei 950 chips but received only 16,000.
7 min read
Cheap subagents are better when their work is visible
DeepSeek, Kimi, and GLM are cheap enough to run as sidecar subagents for drafts and exploration. The catch is that cheap work you cannot inspect is just expensive noise. A shared canvas makes the output reviewable.
5 min read
DeepSeek V4 Economics: The Cost-Quality Frontier for Agentic Coding in 2026
DeepSeek V4 Pro lands an 80.6 on SWE-bench Verified in Max reasoning mode at $0.435/$0.87 per million tokens, and Flash runs agent inner loops for cents. Here is the worked cost math, the Flash-vs-Pro split, and a clear guide on when to route to DeepSeek instead of a frontier model.
9 min read
GLM-5.2 vs DeepSeek V4 vs Qwen3: The Open-Weights Coding Model Showdown (2026)
A data-rich, source-cited comparison of the open-weights coding models that matter in 2026: GLM-5.2, DeepSeek V4, Qwen3, and the new Kimi K3 frontier entrant. Benchmark table, per-token pricing, context windows, self-host footprint, and a clear pick-X-if decision matrix.
14 min read
DeepSeek Retires deepseek-chat and deepseek-reasoner on July 24: Your V4 Migration Guide
deepseek-chat is deprecated and disappears July 24, 2026 - here is how to migrate to V4 Flash or Pro, with verified pricing, thinking-mode mapping, and a step-by-step checklist.
9 min read
The Mid-Tier Shootout: GPT-5.4 vs Gemini 3.1 Pro vs DeepSeek V4 Pro
GPT-5.4 vs Gemini 3.1 Pro vs DeepSeek V4: pricing, benchmarks, context behavior, and license terms for the mid-tier models that carry most production traffic.
11 min read
Fable 5 vs DeepSeek V4: The Cost-Quality Gap Measured in Real Tasks
DeepSeek V4-Flash costs $0.28 per million output tokens. Fable 5 costs $50. That 178x gap is real - but so is the quality difference. Here is where it matters and where it does not.
7 min read
What the 'Notes on DeepSeek' Essay Gets Right About Open-Weights Economics
A first-hand visit to DeepSeek HQ reveals something more interesting than benchmark scores: a 300-person company that treats AI as infrastructure, not eschatology - and what that means for API pricing everywhere.
7 min read
Reasonix Shows the Next Coding Agent Fight Is Cache Discipline
Reasonix hit Hacker News with a DeepSeek-native pitch: keep long coding sessions cheap by designing the agent loop around prefix caching. The interesting question is when cache efficiency helps quality, and when it fights the harness.
7 min read
DeepSeek V4 Changes the Coding Agent Cost Equation
DeepSeek V4 is trending because it is close enough to frontier coding models at a much lower token price. The real question for developers is where cheap reasoning belongs in an agent stack.
8 min read
DeepSeek V4: The Developer's Guide to Flash and Pro
DeepSeek V4 splits into Flash and Pro, ships a 1M context window, and undercuts every closed model on price. Here's how to wire it up with the OpenAI SDK, when to pick it over Claude or GPT, and what changed since V3 and R1.
10 min read
DeepSeek R1, PPO, and GRPO Explained for Devs
GRPO is suddenly the standard RL recipe for reasoning models. A no-prior-knowledge mental model of PPO, GRPO, and how DeepSeek R1's training works under the hood.
12 min read
DeepSeek R1 and V3: The Developer's Guide to Open-Source AI
DeepSeek's R1 and V3 models deliver frontier-level performance under an MIT license. Here's how to use them through the API, run them locally with Ollama, and decide when they beat closed-source alternatives.
9 min read
Related Tools
All tools →DeepSeek-TUI
Open sourceOpen-source terminal agent runtime with approval modes, rollback snapshots, MCP servers, LSP diagnostics, and a headless HTTP API. Uses DeepSeek models by default.
AI CodingDeepSeek
Open-source reasoning models from China. DeepSeek-R1 rivals o1 on math and code benchmarks. V3 for general use. Fully open weights. Extremely cost-effective API.
AI ModelsDeepSeek V3.2
DeepSeek's reasoning-first model built for agents. First model to integrate thinking directly into tool use. Ships alongside V3.2-Speciale, which rivals GPT-5 and Gemini 3.0 Pro.
AI ModelsDeepSeek V4
Open weightsDeepSeek's open-weights frontier family, previewed April 24, 2026. V4-Pro is 1.6T total / 49B active params; V4-Flash is 284B / 13B. 1M context standard. Weights on Hugging Face.
AI ModelsKeep exploring
More on DeepSeek
- - DeepSeek-TUI - recommended DeepSeek tool from the Developers Digest directory
- - Tools Directory - dive deeper across the Developers Digest knowledge base
- - All DeepSeek articles in the blog archive
- - Developers Digest on YouTube - video tutorials covering DeepSeek and more
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