Mistral NeMo 12B — Specifiche
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Sviluppatore | Mistral AI |
|---|---|
| Tipo | LLM (densa) |
| Modalità | Testo → Testo |
| Parametri | 12B |
| Finestra contestuale | 128K |
| Licenza | Apache 2.0 (open) |
| Pesi aperti | Sì |
| Pubblicato | 2024 |
| Prezzo dell’input | $0.02 /1M |
| Prezzo dell’output | $0.04 /1M |
| Provider API | Mistral, OpenRouter, Ollama |
Esegui localmente
| VRAM (4-bit) | ~7,5 GB |
|---|---|
| GPU minima | RTX 4070 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
| Input (per ogni milione di token) | $0.0200 |
|---|---|
| Output (per ogni milione di token) | $0.0400 |
| Rapporto output/input | 2× |
| Combinato (4:1 in:out) | $0.0240 per 1 milione di token |
What Mistral NeMo 12B costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $0.03 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $0.60 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $6.00 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to Mistral NeMo 12B
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| Mistral 7B aperta | $0.0220 | 8% cheaper |
| Llama 3.1 8B aperta | $0.0220 | 8% cheaper |
Eseguirlo in autonomia o pagare l’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 calcolatore self-hosting vs API calcola il punto di pareggio in base al tuo volume di token.
Domande frequenti
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.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel Database di modelli IA o il Classifica LLM.