DeepSeek

DeepSeek V4 Flash

DeepSeek's cheap tier, retrained for agents — same size, sharper loops.

Context1,000,000-token context window

PricingAPI · cheap tier

Tasks tested50

Avg scorecurrently unranked

Medals🥇0 🥈0 🥉0

Release2026-07

Official siteapi-docs.deepseek.com ↗

Official vendor source

DeepSeek V4 Flash is built by DeepSeek — see the vendor's own product page, pricing, and docs at api-docs.deepseek.com.

Visit api-docs.deepseek.com →

What is DeepSeek V4 Flash?

DeepSeek V4 Flash is the DeepSeek frontier model with a 1,000,000-token context window context window, released 2026-07. Tagline: DeepSeek's cheap tier, retrained for agents — same size, sharper loops.. Official source: api-docs.deepseek.com.

Pricing detail. Benched on the DeepSeek-V4-Flash-0731 public beta, launched 2026-07-31 on DeepSeek's official API. DeepSeek describe it as a major upgrade to agent capabilities whose benchmark scores now surpass their previous V4-Pro-Preview, using the exact same model architecture and size as the preview — the gain is post-training, not scale. Natively supports the Responses API format and is adapted for Codex-style coding loops. Benched against api.deepseek.com directly because third-party routes list "v4-flash" undated and may still serve the older preview build.

How I use it inside the Agent OS. Wired into the Agent OS three ways: a `deepseek` Hermes profile, the DeepSeek Coder tab (official API, V4 Flash 0731 / V4 Pro picker, live preview), and the OpenCode model dropdown. Benched on all 50 GoldieBench tasks via api.deepseek.com — the endpoint the 0731 beta shipped on — with the skill-infused threejs-game-director prompt on game tasks and a model-driven fix round on any build that failed the render check.

What I built with DeepSeek V4 Flash

Every model on Goldie Bench gets the same fixed prompt set — one shot, single HTML file out — and I score the result 0–10 inside the Agent Operating System. Here's what DeepSeek V4 Flash shipped on the bench: 50 one-shot demos across 1,000,000-token context window of context. Of those, 0 are scored against the field with my honest 0–10 from the source guides at agentos.guide.

Strengths

50/50 one-shot builds returned complete, valid, closing HTML — zero truncations
42/50 rendered clean first time; all 8 dark builds were repaired by the model itself in one fix round
1M-token context on the cheap tier — whole codebases fit in a single call

Trade-offs

Unranked — the 50 builds are on the bench but not yet scored by the Opus vision judge
Reasons at length before writing (a full 3D game build ran ~4-8 minutes), so it is not a fast-draft model
8 of 50 first-pass builds rendered black or near-black before the fix round

Best for

Long agent loops and Codex-style write-run-fix work, which is what the 0731 upgrade targets
Whole-repo or whole-document tasks that need the 1M context on a cheap tier
Volume build work where you would rather wait a few minutes than pay a flagship

Every demo by DeepSeek V4 Flash

50 live demos, sorted by category. Click any tile to play the actual one-shot result. Verdicts and 0–10 scores are pulled from the source guides where I posted them publicly.

DeepSeek V4 Flash

What is DeepSeek V4 Flash?

What I built with DeepSeek V4 Flash

Strengths

Trade-offs

Best for

Every demo by DeepSeek V4 Flash

Compare DeepSeek V4 Flash against every other model

Quick pill index

DeepSeek V4 Flash — frequently asked

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