Nodrošinātājs šo modeli pakāpeniski izņem no apgrozības.
01
Spēļu laukums
Izmēģiniet Gemini 3 Flash
Tērzēšana
0,60 $/1M ievade
Šis palaišanas gadījums
maksimāli 0,0037 $ · 0,37 kredīti rezervēti
Norēķins tiek veikts par faktiskajiem izmantotajiem žetoniem; neizmantotā rezerves daļa tiek atmaksāta.
Jauns šeit?
10 bezmaksas kredīti (0,10 $), reģistrējies ar Google
Pieejams 24 stundas pēc reģistrācijas, līdz 5 palaišanas gadījumi dienā un maksimāli 2 kredīti uz palaišanas gadījumu. Citas pierakstīšanās metodes sākas bez kredītiem. Pietiek 27 šī modeļa palaišanām.
02
Par Gemini 3 Flash
ĪsumāUz 2026. gada 23. septembris
Gemini 3 Flash ir Google DeepMind modelis kategorijā Multimodāls. Railwail platformā Gemini 3 Flash maksā 0,60 $ par 1M ievades tokeniem un 3,60 $ par 1M izvades tokeniem. Konteksta logs satur 1 048 576 žetonus, un viena atbilde var būt līdz 65 536 žetonu gara.
Announced April 22, 2026, Gemini 3 Flash brings Pro-grade reasoning to the Flash latency tier. 1M-token context, fully multimodal (text, image, audio, video), 65K max output. The default model in the Gemini app and AI Mode in Search. PhD-level reasoning on common benchmarks at a fraction of the cost of 3.1 Pro. Recommended for high-throughput agentic workflows, real-time multimodal chat, RAG and consumer applications.
Fons
Par Google DeepMind
Dibināts 2010 · Mountain View, USA / London, UK
Google DeepMind is the merged AI research organisation formed in April 2023 by combining Google Brain with DeepMind. Demis Hassabis leads the unit as CEO. Flash variants have been Google's high-throughput tier since Gemini 1.5 Flash (May 2024), with Gemini 2.0 Flash (December 2024), 2.5 Flash (mid-2025) and Gemini 3 Flash (April 2026) representing the progression. DeepMind's seminal papers include 'Attention Is All You Need' (2017), AlphaGo (2016), AlphaFold (2018-2021, Nobel Prize 2024) and the Gemini Technical Report.
Gemini 3 Flash was announced April 22, 2026 as the default Flash-tier model and the new default model in the Gemini app and AI Mode in Search. It is a natively multimodal Sparse MoE Transformer engineered to combine Gemini 3 Pro's reasoning quality with Flash-grade latency, efficiency and cost. Pretraining used Google's TPU v6e infrastructure on a multi-trillion-token mixture of web text, code, books, image-text pairs, audio and video frames. Post-training combined supervised fine-tuning, RLHF, RL against verifiable rewards and distillation from larger Gemini 3.1 Pro teacher models. The architecture preserves Gemini's native multimodality across text, image, audio and video, the full tool-use API and Search grounding, while running at a fraction of Pro pricing. Gemini 3 Flash is the recommended default for high-throughput agentic workflows and consumer-facing multimodal chat.
Parametri
Undisclosed (sparse MoE, smaller and sparser than Gemini 3.1 Pro)
Konteksts
1 048 576 marķieri
Iespējas
Pro-grade reasoning at Flash latency
1,048,576 token context window
Natively multimodal: text, image, audio and video
Search grounding and Code Execution built into the API
Function calling, JSON schema and parallel tool calls
Default model in the Gemini app and AI Mode in Search
PhD-level reasoning on common benchmarks
Available via Vertex AI, AI Studio, Gemini Enterprise, Antigravity and the Gemini app
Pretrained on a multi-trillion-token mixture of web text, code, books, scientific papers, image-text pairs, audio and video frames. Heavily distilled from larger Gemini 3.1 Pro teacher models. Post-training uses supervised fine-tuning, RLHF and RL against verifiable rewards. Knowledge cutoff in late 2025.
Licence: Proprietary commercial license via Google AI Studio, Vertex AI and the Gemini app. Free tier available in the Gemini app and AI Mode in Search.
Drošības pārbaudes: Evaluated under Google DeepMind's Frontier Safety Framework v2 with internal red teams and external evaluators.
Zināmi ierobežojumi
Below Gemini 3.1 Pro on the hardest reasoning and long-context benchmarks
curl https://railwail.com/api/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-flash",
"messages": [
{
"role": "user",
"content": "Explain what a vector database is in two sentences."
}
],
"max_tokens": 1024
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
completion = client.chat.completions.create(
model="gemini-3-flash",
messages=[
{
"role": "user",
"content": "Explain what a vector database is in two sentences.",
},
],
max_tokens=1024,
)
print(completion.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const completion = await client.chat.completions.create({
model: "gemini-3-flash",
messages: [
{
role: "user",
content: "Explain what a vector database is in two sentences."
}
],
max_tokens: 1024
});
console.log(completion.choices[0].message.content);
// npm install railwail
import railwail from "railwail";
const rw = railwail(process.env.RAILWAIL_API_KEY);
const res = await rw.chat("gemini-3-flash", [
{ role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });
console.log(res.choices[0].message.content);
Gemini 3 Flash ir Google DeepMind izstrādāts modelis Multimodāls kategorijā. Railwail platformā varat to izsaukt ar API atslēgu, izmantojot Railwail API.
Cik maksā Gemini 3 Flash Railwail?
Railwail platformā Gemini 3 Flash maksā 0,60 $ par 1M ievades tokeniem un 3,60 $ par 1M izvades tokeniem. Jums tiek ņemta maksa par to, ko katra pieprasījuma izpilde faktiski izmanto. Izmantošana tiek apmaksāta no iepriekš nopirkto kredītu; 1 kredīts = 0,01 $.
Kāds ir Gemini 3 Flash konteksta logs?
Gemini 3 Flash konteksta logs satur 1 048 576 žetonus. Viena atbilde var būt līdz 65 536 žetonu gara.
Cik ātrs ir Gemini 3 Flash?
Railwail platformā Gemini 3 Flash vēl nav pietiekami daudz izmērītu izpilžu, lai norādītu izpildes laiku. Tas ir atkarīgs no ievades, iestatījumiem un sniedzēja slodzes.
Vai Gemini 3 Flash ir labāks par BLIP?
Tas ir atkarīgs no uzdevuma. Gemini 3 Flash (Google DeepMind) un BLIP (Salesforce) ir abi modeļi Multimodāls kategorijā. Salīdzināšanas lapā to cenas un specifikācijas ir parādītas blakus.
Jā. Gemini 3 Flash pieņem attēlus kā ievadi papildus tekstam.
Kā es varu izmantot Gemini 3 Flash caur API?
Izveidojiet Railwail API atslēgu un nosūtiet savu pieprasījumu ar modeļa ID gemini-3-flash. Koda piemēri curl, Python un JavaScript ir šīs lapas API sadaļā.
