Qwen3 8B — Especificações
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desenvolvedor | Alibaba |
|---|---|
| Tipo | LLM (densa) |
| Modalidade | Texto → Texto |
| Parâmetros | 8B |
| Janela de contexto | 128K |
| Licença | Apache 2.0 (aberta) |
| Pesos abertos | Sim |
| Lançado | 2025 |
| Preço da entrada | $0.04 /1M |
| Preço da saída | $0.14 /1M |
| Provedores de API | Alibaba, OpenRouter, Ollama |
Execute-o localmente
| VRAM (4 bits) | ~5 GB |
|---|---|
| GPU mínima | RTX 3060 8GB / qualquer GPU de 8 GB |
What is Qwen3 8B?
Qwen3 8B is a small, fast dense model from the Qwen3 family — Apache 2.0, a 128K context,
and about 5 GB of VRAM at 4-bit, which fits an RTX 3060 8GB or any 8 GB card. Hosted pricing
is $0.04 in / $0.14 out per million tokens.
Among models that fit an 8 GB GPU, it is one of the strongest available, and the 128K
context is what separates it from the older generation in the same bracket — Mistral 7B, its
closest historical equivalent, tops out at 32K. That difference decides whether a local
assistant can hold a real document or only a few pages. Apache 2.0 licensing means no
conditions to clear with legal, and the small footprint leaves room on the card for a
generous context or a second process. Treat it as the entry point to local inference: it will
run on hardware you almost certainly already have, and if it proves the use case, Qwen3 14B
and 32B are drop-in upgrades within the same family and licence as your hardware
allows.
Qwen3 8B pricing: API cost per 1M tokens
| Entrada (por 1 milhão de tokens) | $0.0400 |
|---|---|
| Saída (por 1 milhão de tokens) | $0.140 |
| Razão saída/entrada | 3.5× |
| Misturada (4:1 entrada:saída) | $0.0600 por 1 milhão de tokens |
What Qwen3 8B costs per month
Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.
| Carga de trabalho | Tokens/mês | Custo por mês |
|---|---|---|
| Projeto paralelo | 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída | $0.08 |
| Equipe pequena | 20 milhões de tokens de entrada / 5 milhões de tokens de saída | $1.50 |
| Produção | 200 milhões de tokens de entrada / 50 milhões de tokens de saída | $15 |
Calcule seus próprios números na Calculadora de custos de API de IA.
Cheaper alternatives to Qwen3 8B
| Modelo | Custo médio ponderado por US$ 1 milhão | Você economiza |
|---|---|---|
| Mistral 7B aberta | $0.0220 | 63% mais barato |
| Llama 3.1 8B aberta | $0.0220 | 63% mais barato |
| Mistral NeMo 12B aberta | $0.0240 | 60% cheaper |
Hospedar localmente ou pagar pela API?
Qwen3 8B is open-weight, so you can run it yourself. It needs ~5 GB of VRAM at 4-bit (RTX 3060 8GB / any 8GB GPU). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calculadora de autohospedagem versus API calcula o ponto de equilíbrio para seu volume de tokens.
Perguntas frequentes
How much does Qwen3 8B cost per 1M tokens?
Qwen3 8B costs $0.0400 per 1M input tokens and $0.140 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.0600 per 1M tokens.
How much does Qwen3 8B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $1.50 on Qwen3 8B. A side project (1M in / 0.25M out) costs roughly $0.08.
What is a cheaper alternative to Qwen3 8B?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 63% less than Qwen3 8B. It is also open-weight, so self-hosting is an option.
Can I run Qwen3 8B locally?
Yes. Qwen3 8B is open-weight and needs about ~5 GB of VRAM at 4-bit quantisation (RTX 3060 8GB / any 8GB GPU).
Why does Qwen3 8B charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Qwen3 8B charges 3.5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.