Inteligência em modelos de IA

Qwen/Qwen3.5-4B

siliconflow-cn/qwen3-5-4b

Por siliconflow-cn · família: qwen · lançado 2026-03-03 · data de conhecimento: 2025-04

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

Desconhecido
Entrada / 1M tokens
Desconhecido
Saída / 1M tokens
262K
Janela de contexto
66K
Saída máxima

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

Capacidades

✓ Tool calling✓ Raciocínio? Saída estruturada✗ Anexos✓ Pesos abertos✓ Controle de temperatura
Modalidades: entrada text, image, video · 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.

Coding59
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • 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 context51
  • Context window (100K → 2M)51/90
  • Has published price for full window0/10
Vision72
  • Accepts image input50/50
  • Context window (10K → 1M)21/30
  • 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

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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.

Disponível em 1 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
SiliconFlow (China)
siliconflow-cn
Qwen/Qwen3.5-4BUnknownUnknown262K2026-03-03

Frequently asked questions

How much does Qwen/Qwen3.5-4B cost?

Qwen/Qwen3.5-4B 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 siliconflow-cn's official pricing page for the most current rates.

What is the context window of Qwen/Qwen3.5-4B?

Qwen/Qwen3.5-4B has a context window of 262K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen/Qwen3.5-4B support tool calling?

Yes. Qwen/Qwen3.5-4B 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 Qwen/Qwen3.5-4B support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen/Qwen3.5-4B in our data source. Verify with siliconflow-cn's official documentation before relying on it in production.

Can Qwen/Qwen3.5-4B accept image input?

Yes. Qwen/Qwen3.5-4B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check siliconflow-cn's docs for the exact rule.

Is Qwen/Qwen3.5-4B open-weight?

Yes. Qwen/Qwen3.5-4B'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 Qwen/Qwen3.5-4B?

If Qwen/Qwen3.5-4B doesn't fit, consider inclusionAI/Ling-flash-2.0, inclusionAI/Ling-mini-2.0, inclusionAI/Ring-flash-2.0. 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.

Explore more

More siliconflow-cn models

Capability lists this model is in

See also

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.