Inteligência em modelos de IA

Gemini 3.0 Pro Preview

qiniu-ai/gemini-3-0-pro-preview

Por qiniu-ai · lançado 2025-11-19

⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.

Desconhecido
Entrada / 1M tokens
Desconhecido
Saída / 1M tokens
1M
Janela de contexto
64K
Saída máxima

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

Capacidades

Tool callingRaciocínioSaída estruturadaAnexosPesos abertosControle de temperatura
Modalidades: entrada text, image, video, pdf, audio · saída 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.

Coding71
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents66
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context80
  • Context window (100K → 2M)80/90
  • Has published price for full window0/10
Vision81
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price0/10
  • Provider availability1/10
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

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.

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.

Disponível em 1 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
Qiniu
qiniu-ai
gemini-3.0-pro-previewUnknownUnknown1M2025-11-19

Frequently asked questions

How much does Gemini 3.0 Pro Preview cost?

Gemini 3.0 Pro Preview 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 Gemini 3.0 Pro Preview?

Gemini 3.0 Pro Preview has a context window of 1M tokens, with a max output of 64K tokens per reply. This is the total combined size of prompt + completion.

Does Gemini 3.0 Pro Preview support tool calling?

Yes. Gemini 3.0 Pro Preview 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 Gemini 3.0 Pro Preview support structured output / JSON mode?

No. Gemini 3.0 Pro Preview does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can Gemini 3.0 Pro Preview accept image input?

Yes. Gemini 3.0 Pro Preview accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check qiniu-ai's docs for the exact rule.

Is Gemini 3.0 Pro Preview open-weight?

No. Gemini 3.0 Pro Preview 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 Gemini 3.0 Pro Preview?

If Gemini 3.0 Pro Preview 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.

Última atualização:

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.