Mistral NeMo 12B — Especificaciones
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desarrollador | Mistral AI |
|---|---|
| Tipo | LLM (densa) |
| Modalidad | Texto → Texto |
| Parámetros | 12B |
| Ventana de contexto | 128 K |
| Licencia | Apache 2.0 (abierta) |
| Pesos abiertos | Sí |
| Lanzado | 2024 |
| Precio de entrada | $0.02 /1M |
| Precio de salida | $0.04 /1M |
| Proveedores de API | Mistral, OpenRouter, Ollama |
Ejecútelo localmente
| VRAM (4 bits) | ~7,5 GB |
|---|---|
| GPU mínima | RTX 4070 de 12 GB / RTX 3060 |
What is Mistral NeMo 12B?
Mistral NeMo 12B was built by Mistral AI in partnership with NVIDIA — Apache 2.0, a 128K
context, strong multilingual support, and about 7.5 GB of VRAM at 4-bit, which fits an RTX
4070 12GB or an RTX 3060.
The NVIDIA collaboration shows up where it matters: the model was designed with quantisation
in mind, so it holds quality at 4-bit better than models retrofitted to small hardware after
the fact — the usual failure mode being a model that technically fits in 12 GB but degrades
noticeably once it does. Combined with genuinely good multilingual coverage, that makes NeMo
12B a strong pick for non-English local deployments, where the alternatives are often
English-first models that lose more in quantisation than they can afford. At $0.02 in / $0.04
out per million tokens it is also among the cheapest hosted options available, so it works as
the low-cost tier of a routing setup as well as a local model.
Mistral NeMo 12B pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $0.0200 |
|---|---|
| Salida (por cada millón de tokens) | $0.0400 |
| Relación salida/entrada | 2× |
| Combinada (4:1 entrada:salida) | $0.0240 por 1 millón de tokens |
What Mistral NeMo 12B costs per month
Gasto mensual real con una mezcla entrada:salida de 4:1, es decir, la proporción que realmente genera una carga de trabajo típica de chat o RAG.
| Carga de trabajo | Tokens/mes | Coste mensual |
|---|---|---|
| Proyecto secundario | 1 millón de tokens de entrada / 0,25 millones de tokens de salida | $0.03 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $0.60 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $6.00 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to Mistral NeMo 12B
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Mistral 7B abierta | $0.0220 | 8% cheaper |
| Llama 3.1 8B abierta | $0.0220 | 8% cheaper |
¿Autoalojarlo o pagar por la API?
Mistral NeMo 12B is open-weight, so you can run it yourself. It needs ~7,5 GB of VRAM at 4-bit (RTX 4070 12GB / RTX 3060). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calculadora de autohospedaje frente a API calcula el punto de equilibrio para su volumen de tokens.
Preguntas frecuentes
How much does Mistral NeMo 12B cost per 1M tokens?
Mistral NeMo 12B costs $0.0200 per 1M input tokens and $0.0400 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.0240 per 1M tokens.
How much does Mistral NeMo 12B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $0.60 on Mistral NeMo 12B. A side project (1M in / 0.25M out) costs roughly $0.03.
What is a cheaper alternative to Mistral NeMo 12B?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 8% less than Mistral NeMo 12B. It is also open-weight, so self-hosting is an option.
Can I run Mistral NeMo 12B locally?
Yes. Mistral NeMo 12B is open-weight and needs about ~7.5 GB of VRAM at 4-bit quantisation (RTX 4070 12GB / RTX 3060).
Why does Mistral NeMo 12B 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. Mistral NeMo 12B charges 2× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Los precios corresponden a las tarifas oficiales publicadas para la API principal del modelo y se revisan periódicamente conforme los proveedores los actualicen. No incluyen descuentos por volumen, procesamiento por lotes ni entradas en caché. Compare todos los modelos uno al lado del otro en la Base de datos de modelos de IA o el Clasificación de modelos de lenguaje grande (LLM).