Inteligencia de modelos de IA

DeepSeek/DeepSeek-V3.1-Terminus-Thinking

qiniu-ai/v3-1-terminus-thinking

Por qiniu-ai · lanzado 2025-09-22

⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.

Desconocido
Entrada / 1M tokens
Desconocido
Salida / 1M tokens
128K
Ventana de contexto
32K
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.

Coding13
  • Tool calling0/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents31
  • Tool calling0/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context35
  • Context window (100K → 2M)35/90
  • Has published price for full window0/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

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

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponible en 1 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
Qiniu
qiniu-ai
deepseek/deepseek-v3.1-terminus-thinkingUnknownUnknown128K2025-09-22

Frequently asked questions

How much does DeepSeek/DeepSeek-V3.1-Terminus-Thinking cost?

DeepSeek/DeepSeek-V3.1-Terminus-Thinking does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check qiniu-ai's official pricing page for the most current rates.

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

DeepSeek/DeepSeek-V3.1-Terminus-Thinking has a context window of 128K tokens, with a max output of 32K tokens per reply. This is the total combined size of prompt + completion.

Does DeepSeek/DeepSeek-V3.1-Terminus-Thinking support tool calling?

No. DeepSeek/DeepSeek-V3.1-Terminus-Thinking does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

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

No. DeepSeek/DeepSeek-V3.1-Terminus-Thinking 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/DeepSeek-V3.1-Terminus-Thinking accept image input?

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

Is DeepSeek/DeepSeek-V3.1-Terminus-Thinking open-weight?

No. DeepSeek/DeepSeek-V3.1-Terminus-Thinking is a proprietary model — only qiniu-ai (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

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

If DeepSeek/DeepSeek-V3.1-Terminus-Thinking doesn't fit, consider Kling-V2 6, Mimo-V2-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 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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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.