Inteligencia de modelos de IA

DeepSeek-V3.1

deepseek/v3

Por DeepSeek · familia: deepseek · lanzado 2024-12-26 · fecha de conocimiento: 2024-07

$0.250
Entrada / 1M tokens
$1.00
Salida / 1M tokens
164K
Ventana de contexto
82K
Salida máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

Llamada a herramientasRazonamientoSalida estructuradaAdjuntosPesos abiertosControl de temperatura
Modalidades: entrada text · salida text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding84
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)4/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output98
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume18/20
Cost efficiency60
  • Headline price (log-scaled)60/95
  • Has prompt-cache pricing0/5
Long context51
  • Context window (100K → 2M)41/90
  • Has published price for full window10/10
Production-readiness96
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1.75
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$3.50
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$1.00
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$3.00
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$3.60
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalle de precios

Precio recomendado de siliconflow-cn · Pro/deepseek-ai/DeepSeek-V3

$0.250
Entrada
$1.00
Salida

Proveedor más barato: iflowcn · Unknown entrada + Unknown salida

Disponible en 13 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
Amazon Bedrock
amazon-bedrock
deepseek.v3-v1:0$0.580$1.68164K2025-09-18
Vercel AI Gateway
vercel
deepseek/deepseek-v3$0.770$0.770164K2024-12-26
Together AI
togetherai
deepseek-ai/DeepSeek-V3$1.25$1.25131K2025-01-20
SiliconFlow (China)
siliconflow-cn
Pro/deepseek-ai/DeepSeek-V3$0.250$1.00164K2024-12-26
SiliconFlow (China)
siliconflow-cn
deepseek-ai/DeepSeek-V3$0.250$1.00164K2024-12-26
Alibaba (China)
alibaba-cn
deepseek-v3$0.287$1.1566K2024-12-01
iFlow
iflowcn
deepseek-v3UnknownUnknown128K2024-12-26
Qiniu
qiniu-ai
deepseek-v3UnknownUnknown128K2025-08-13
Helicone
helicone
deepseek-v3$0.560$1.68128K2024-12-26
Synthetic
synthetic
hf:deepseek-ai/DeepSeek-V3$1.25$1.25128K2025-01-20
DigitalOcean
digitalocean
deepseek-v3UnknownUnknown164K2024-12-26
SiliconFlow
siliconflow
deepseek-ai/DeepSeek-V3$0.250$1.00164K2024-12-26
D.Run (China)
drun
public/deepseek-v3$0.280$1.10131K2024-12-26

Inconsistencias de datos entre proveedores

  • context_window varies: 128000, 131072, 163840, 164000, 65536
  • release_date varies (span 291d): 2024-12-01, 2024-12-26, 2025-01-20, 2025-08-13, 2025-09-18

Los proveedores reportan valores distintos para este modelo. Los datos clave de arriba usan un proveedor representativo; consulta la tabla para detalles por proveedor.

Frequently asked questions

How much does DeepSeek-V3.1 cost?

DeepSeek-V3.1 costs $0.250 per 1M input tokens and $1.00 per 1M output tokens, sourced from siliconflow-cn. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of DeepSeek-V3.1?

DeepSeek-V3.1 has a context window of 164K tokens, with a max output of 82K tokens per reply. This is the total combined size of prompt + completion.

Does DeepSeek-V3.1 support tool calling?

Yes. DeepSeek-V3.1 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does DeepSeek-V3.1 support structured output / JSON mode?

Yes. DeepSeek-V3.1 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can DeepSeek-V3.1 accept image input?

No. DeepSeek-V3.1 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is DeepSeek-V3.1 open-weight?

Yes. DeepSeek-V3.1's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to DeepSeek-V3.1?

If DeepSeek-V3.1 doesn't fit, consider DeepSeek-V3.2, DeepSeek V4 Pro, DeepSeek-R1-0528. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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Última actualización:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.