Modelos

DeepSeek-V3

hyperbolic · 1049K ctx · 15 provedores · atualizado 2026-11-03 07:16 UTC

Mais barato
$0.200 Tabela oficial · Hyperbolic
Preço médio
$0.754 /1M
provedores
15
(3 × $0.200 + $0.200) ÷ 4 = $0.200/1M — o valor $/1M combina entrada e saída na proporção 3:1 — é a única forma de ordenar num eixo modelos com duas tarifas. Sua tarifa real depende da sua própria proporção entrada:saída — só entrada $0.200, 3:1 $0.200, 1:1 $0.200, só saída $0.200 por 1M.

O quadro mostra a oferta medida mais barata deste modelo ($0.200/1M); o número menor abaixo é a média das 17 ofertas listadas abaixo ($0.754/1M). Some e divida — confere.

ProvedorRouter / Fonte$ in /1M$ out /1MTTFTTPSDisponibilidadeEvidência
hyperbolic Pricebook (LiteLLM) ↗ $0.200$0.200 — — — Tabela oficial
inferenceapis Pricebook (LiteLLM) ↗ $0.190$0.380 — — — Tabela oficial
requesty Requesty ↗ $0.256$0.712 — — — Medido por API
deepinfra Pricebook (LiteLLM) ↗ $0.320$0.890 — — — Tabela oficial
deepinfra HuggingFace Router ↗ $0.320$0.890 451ms 15 — Medido por API
deepseek Pricebook (LiteLLM) ↗ $0.270$1.10 — — — Tabela oficial
streamlake Pricebook (LiteLLM) ↗ $0.286$1.14 — — — Tabela oficial
burncloud burncloud ↗ $0.287$1.15 — — — Medido por API
kyma Pricebook (LiteLLM) ↗ $0.518$0.757 — — — Tabela oficial
nebius Pricebook (LiteLLM) ↗ $0.500$1.50 — — — Tabela oficial
novita Pricebook (LiteLLM) ↗ $0.890$0.890 — — — Tabela oficial
novita-ai Novita AI ↗ $0.890$0.890 — — — Medido por API
fireworks_ai Pricebook (LiteLLM) ↗ $0.900$0.900 — — — Tabela oficial
vercel_ai_gateway Pricebook (LiteLLM) ↗ $0.900$0.900 — — — Tabela oficial
together_ai Pricebook (LiteLLM) ↗ $1.25$1.25 — — — Tabela oficial
replicate Pricebook (LiteLLM) ↗ $1.45$1.45 — — — Tabela oficial
azure_ai Pricebook (LiteLLM) ↗ $1.14$4.56 — — — Tabela oficial

Tendência de preço

$0.4725 $0.2 2026-09-05 → 2026-11-03 · 60d 2026-09-05 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-06 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-07 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-08 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-09 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-10 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-11 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-12 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-13 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-14 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-15 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-16 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-17 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-18 · O 0.2 H 0.4725 L 0.2 C 0.4725 $/1M2026-09-19 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-20 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-21 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-22 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-23 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-24 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-25 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-26 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-27 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-28 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-29 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-09-30 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-01 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-02 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-03 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-04 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-05 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-06 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-07 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-08 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-09 · O 0.2 H 0.4625 L 0.2 C 0.4625 $/1M2026-10-10 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-11 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-12 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-13 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-14 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-15 · O 0.2 H 0.2375 L 0.2 C 0.2375 $/1M2026-10-16 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-17 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-18 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-19 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-20 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-21 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-22 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-23 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-24 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-25 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-26 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-27 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-28 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-29 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-30 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-10-31 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-11-01 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-11-02 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M2026-11-03 · O 0.2 H 0.2 L 0.2 C 0.2 $/1M

Menor preço combinado, últimos 31 dias (USD/1M): $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2 → $0.2

Dados e método

Mais barato classificado pelo preço combinado = (3×in + out) ÷ 4; as colunas de desempenho aparecem apenas quando uma fonte as fornece, nunca estimadas. “Tabela oficial” = tabela de preços aberta da LiteLLM (MIT); “Medido por API” = APIs públicas de provedores/agregadores. Dados legíveis por máquina: /api/v1/models/deepseek-v3.json. A reutilização gratuita requer atribuição a tkx.org.

Sobre

DeepSeek-V3 is an AI model designed for machine learning tasks, served by multiple inference providers on AI model marketplaces and listed under the "hyperbolic" serving-platform tag.

Resumo gerado por IA a partir de informações públicas — é seu?

Perguntas frequentes

Quanto custa DeepSeek-V3?

Oferta medida mais barata agora: $0.2/1M de entrada, $0.2/1M de saída via hyperbolic — entre 15 fornecedores, atualizado de hora em hora.

Quem serve DeepSeek-V3?

15 fornecedores o servem atualmente. A tabela acima lista preço, TTFT, TPS, disponibilidade e nível de evidência de cada um.

O preço de DeepSeek-V3 está subindo ou caindo?

As velas diárias acompanham o menor preço combinado ($/1M, 3:1). A TKX captura a cada hora: quedas e altas aparecem no mesmo dia.

Análises relacionadas

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