Friday, 7 August 2026 | Updating Daily AI insight, written for builders

Qwen3 8B

Qwen3 8B — Specifiche

SviluppatoreAlibaba
TipoLLM (densa)
ModalitàTesto → Testo
Parametri8B
Finestra contestuale128K
Output massimo
LicenzaApache 2.0 (open)
Pesi aperti
Pubblicato2025
Prezzo dell’input$0,04 / 1 milione
Prezzo dell’output0,14 $ / 1 milione
Provider APIAlibaba, OpenRouter, Ollama

Esegui localmente

VRAM (4-bit)~5 GB
GPU minima richiestaRTX 3060 8GB / qualsiasi GPU da 8 GB

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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

Input (per ogni milione di token)$0.0400
Output (per ogni milione di token)$0.140
Output/input ratio3.5×
Blended (4:1 in:out)$0.0600 per 1M tokens

What Qwen3 8B costs per month

Real monthly spend at a 4:1 input-to-output mix — the ratio a typical chat or RAG workload actually produces.

Carico di lavoroToken/meseCost / month
Progetto secondario1 milione in ingresso / 0,25 milioni in uscita$0.08
Piccolo team20 milioni in ingresso / 5 milioni in uscita$1.50
Produzione200 milioni in ingresso / 50 milioni in uscita$15

Run your own numbers in the Calcolatore dei costi delle API per l'IA.

Cheaper alternatives to Qwen3 8B

ModelloCosto combinato ($/1 milione)You save
Mistral 7B aperta$0.022063% cheaper
Llama 3.1 8B aperta$0.022063% cheaper
Mistral NeMo 12B aperta$0.024060% cheaper

Self-host or pay the 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 calcolatore self-hosting vs API works out the break-even point for your token volume.

Domande frequenti

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.

Prices are the published list rates for the model's primary API and are reviewed as providers change them. Volume, batch and cached-input discounts are not included. Compare every model side by side in the Database di modelli di intelligenza artificiale o il Classifica LLM.

⚔️ Compare Qwen3 8B head-to-head

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