DeepSeek V4-Flash is DeepSeek's cheapest model at $0.14/1M input tokens — 75% less than the flagship DeepSeek R1. It is also the best capability-per-dollar pick in the lineup.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
DeepSeek V4-Flash is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
DeepSeek V3 is the better pick when response speed matters more than maximum reasoning depth.
DeepSeek V3 is the lowest-cost DeepSeek model: $0.27/1M input, $1.1/1M output.
DeepSeek V3 is the best capability-per-dollar pick (budget score 96/100).
DeepSeek R1 costs 2x more on input — reserve it for work where quality is the bottleneck.
Choose DeepSeek V3 for high-volume, low-stakes tasks like classification, extraction, and drafts.
Choose DeepSeek V3 as the everyday default if you want one budget model.
Route only the hardest tasks to DeepSeek R1 — a two-tier setup usually cuts spend 60–80%.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
DeepSeek / Budget / Mar 24, 2026
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your team has data sovereignty requirements or needs enterprise-grade reliability guarantees.
The fastest way to see where the recommendation shifts when your priority changes.
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
Open-source o1-class reasoning at a fraction of the cost.
Terminal-Bench 2.1 82.7 — up from 61.8 in the April preview, beating V4-Pro (Preview) on all nine published agent benchmarks
Strong tool-calling and security-task results (Toolathlon-Verified 70.3, Cybergym 76.7)
$0.14/$0.28 per 1M with 1M context and MIT-licensed weights
Well behind GPT-5.6, Opus-class, and Gemini frontier models on the hardest reasoning and long-horizon work
Text-only, and several headline numbers come from DeepSeek's own unreleased eval framework
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
Useful if you care about ranking shifts, pricing changes, or a better recommendation appearing in this decision path.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
DeepSeek V4-Flash at $0.14/1M input and $0.28/1M output tokens. Best agentic capability per dollar in the directory.
DeepSeek V4-Flash is the best capability-per-dollar pick in DeepSeek's lineup (budget score 98/100). It handles high-volume agentic coding and tool-use pipelines well — step up to DeepSeek R1 only where quality visibly falls short.
DeepSeek V4-Flash costs $0.14/1M input vs $0.55/1M for DeepSeek R1 — a 75% saving on input tokens.
DeepSeek V4-Flash — 1M tokens at $0.14/1M input.