Inteligencia de modelos de IA

DeepSeek Reasoner

deepseek/reasoner

Por DeepSeek · familia: deepseek-thinking · lanzado 2025-12-01 · fecha de conocimiento: 2025-09

$0.147
Entrada / 1M tokens
$0.295
Salida / 1M tokens
64K
Ventana de contexto
66K
Salida máxima

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

Capacidades

✗ Llamada a herramientas✗ Razonamiento✗ Salida estructurada✗ Adjuntos✓ Pesos abiertos✓ Control 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.

Coding3
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability3/10
Agents18
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output29
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency76
  • Headline price (log-scaled)71/95
  • Has prompt-cache pricing5/5
Long context0
  • Context ≥ 100K0/100
Production-readiness71
  • Number of independent providers15/40
  • 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
$0.88
< $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
$1.77
< $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
$0.44
< $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
$1.47
< $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
$1.94
< $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 orcarouter · deepseek/deepseek-reasoner

$0.147
Entrada
$0.295
Salida
$0.028
Lectura de caché

Disponible en 3 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
NanoGPT
nano-gpt
deepseek-reasoner$0.400$1.7064K2025-12-01
OrcaRouter
orcarouter
deepseek/deepseek-reasoner$0.147$0.2951M2025-12-01
Helicone
helicone
deepseek-reasoner$0.560$1.68128K2025-01-20

Inconsistencias de datos entre proveedores

  • context_window varies: 1000000, 128000, 64000
  • release_date varies (span 315d): 2025-01-20, 2025-12-01

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 Reasoner cost?

DeepSeek Reasoner costs $0.147 per 1M input tokens and $0.295 per 1M output tokens, sourced from orcarouter. 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 Reasoner?

DeepSeek Reasoner has a context window of 64K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does DeepSeek Reasoner support tool calling?

No. DeepSeek Reasoner does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does DeepSeek Reasoner support structured output / JSON mode?

No. DeepSeek Reasoner does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can DeepSeek Reasoner accept image input?

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

Is DeepSeek Reasoner open-weight?

Yes. DeepSeek Reasoner'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 Reasoner?

If DeepSeek Reasoner doesn't fit, consider DeepSeek V4 Pro, DeepSeek V4 Flash, DeepSeek V4.1 Flash. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More DeepSeek models

Capability lists this model is in

See also

Última actualización:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.