Gemini 3.8 Flash — Specifications
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Sviluppatore | |
|---|---|
| Tipo | Veloce / generale |
| Modalità | Text, Image, Video, Audio, PDF → Text |
| Parametri | Non divulgato |
| Finestra contestuale | 1 milione |
| Output massimo | 65K |
| Licenza | Proprietaria |
| Pesi aperti | No |
| Pubblicato | 2026-09 |
| Prezzo dell’input | $0.75 /1M |
| Prezzo dell’output | $3.75 /1M |
| Provider API | Gemini API (Google AI Studio), Android Studio, Gemini Enterprise |
Benchmark
| Google-reported | HLE-Verified 54.9%. Prices are introductory until 31 Dec 2026. |
|---|
What is Gemini 3.8 Flash?
Gemini 3.8 Flash is Google’s fast, low-cost Gemini model, released on 2 September 2026. Google calls it its best reasoning and coding model yet at the speed and low cost of 3.7 Flash, with gains in software engineering, agentic tasks and multi-step reasoning; it reports 54.9% on HLE-Verified. A separate Gemini 3.8 Flash Cyber variant for vulnerability detection is restricted to vetted security teams.
API pricing is $0.75 per million input tokens and $3.75 output — an introductory price that Google says expires on 31 December 2026, and half of Gemini 3.6 Flash’s $1.50 / $7.50. Per Google’s API documentation (model code gemini-3.8-flash) it accepts text, images, video, audio and PDF, takes up to 1,048,576 input tokens and returns up to 65,536, and supports thinking levels, function calling, structured output, code execution, search grounding and caching. It does not generate images or audio.
In the Gemini app it is available to Google AI Pro and Ultra subscribers; Google’s plan page still lists Gemini 3.6 Flash for the free plan. It is also in AI Mode in Google Search, Google Sheets and Gemini Enterprise.
Gemini 3.8 Flash pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $0.750 |
|---|---|
| Output (per ogni milione di token) | $3.75 |
| Rapporto output/input | 5× |
| Combinato (4:1 in:out) | $1.35 per 1 milione di token |
What Gemini 3.8 Flash 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 | $1.69 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $34 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $338 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to Gemini 3.8 Flash
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| Mistral 7B aperta | $0.0220 | 98% cheaper |
| Llama 3.1 8B aperta | $0.0220 | 98% cheaper |
| Mistral NeMo 12B aperta | $0.0240 | 98% cheaper |
Domande frequenti
How much does Gemini 3.8 Flash cost per 1M tokens?
Gemini 3.8 Flash costs $0.750 per 1M input tokens and $3.75 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $1.35 per 1M tokens.
How much does Gemini 3.8 Flash cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $34 on Gemini 3.8 Flash. A side project (1M in / 0.25M out) costs roughly $1.69.
What is a cheaper alternative to Gemini 3.8 Flash?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 98% less than Gemini 3.8 Flash. It is also open-weight, so self-hosting is an option.
Can I run Gemini 3.8 Flash locally?
No. Gemini 3.8 Flash is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does Gemini 3.8 Flash 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. Gemini 3.8 Flash charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Confronta i prezzi di tutti i modelli Gemini uno accanto all’altro: Prezzi dell'API Gemini.
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.