Standard Compute

DeepSeek · updated 2026-08-29

Run DeepSeek V4: providers, pricing and flat-rate access

DeepSeek's 2026 generation (V4 Pro and the fast V4-Flash) — the price-performance benchmark for open-weight coding models.

DeepSeek V4 is the cheapest serious coding model per-token (Flash variants especially), so light users should simply use DeepSeek's API or OpenRouter. The flat-rate case is heavy daily agent use, where even cheap tokens compound: Standard Compute routes routine steps to V4-class models automatically inside a fixed monthly price.

Your options, honestly

DeepSeek APIPay-per-tokenFirst-party, extremely cheap per-token; you manage limits and spend yourself.
DeepInfra / OpenRouterPay-per-tokenProvider choice and fallbacks on the open weights; similar economics.
Standard Compute$39+/mo flatV4-class handles routine routed steps with frontier models behind it for hard ones — one price, no juggling.
Self-host (vLLM)GPU + powerOpen weights; Flash-class variants run on accessible hardware.
the flat-rate trade-off

Honestly: if ALL your work fits DeepSeek quality, per-token DeepSeek is nearly unbeatable on price. Flat-rate wins when you need V4 volume AND frontier quality in the same workflow — that mix is what unbounded per-token bills are made of.

Running it in your agent

Every OpenAI-compatible agent runs V4 with a base-URL swap. On Standard Compute the router sends the right steps to V4-class models automatically.

FAQ

Is DeepSeek V4 reliable enough for agents?
Broadly yes — with occasional provider-level hiccups on the hosted open weights, which is why multi-provider setups or routed plans with automatic fallback are popular for production agents.
V4 Pro or V4-Flash for a coding agent?
Flash for routine steps (it's several times cheaper and fast), Pro for harder reasoning. Routed plans make that split automatic per request.

More: how flat-rate LLM APIs work · per-agent guides for OpenCode, Claude Code and Cline · model comparisons