AI 모델 인텔리전스

Gemini 3 Flash Preview

google/gemini-3-flash-preview

제공: Google · 패밀리: gemini-flash · 출시 2025-12-17 · 지식 컷오프: 2025-01

$0.500
입력 / 1M 토큰
$3.00
출력 / 1M 토큰
1.05M
컨텍스트 창
66K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

도구 호출추론구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text, image, video, audio, pdf · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding100
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output93
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume13/20
Cost efficiency54
  • Headline price (log-scaled)49/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Vision100
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$4.00
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$8.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$2.50
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$7.00
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$7.80
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

가격 상세

추천 가격 제공자: google · gemini-3-flash-preview

$0.500
입력
$3.00
출력
$0.050
캐시 읽기
200K 초과 컨텍스트
input $0.5 · output $3 · cache_read $0.05

가장 저렴한 제공자: github-copilot · Unknown 입력 + Unknown 출력

18곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Google
google
gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Vertex
google-vertex
gemini-3-flash-preview$0.500$3.001.05M2025-12-17
OpenRouter
openrouter
google/gemini-3-flash-preview$0.500$3.001.05M2025-12-17
302.AI
302ai
gemini-3-flash-preview$0.500$3.001M2025-12-18
NanoGPT
nano-gpt
google/gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Abacus
abacus
gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Perplexity Agent
perplexity-agent
google/gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Jiekou.AI
jiekou
gemini-3-flash-preview$0.500$3.001.05M2026-01
ZenMux
zenmux
google/gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Kilo Gateway
kilo
google/gemini-3-flash-preview$0.500$3.001.05M2025-12-17
GitHub Copilot
github-copilot
gemini-3-flash-previewUnknownUnknown128K2025-12-17
Ollama Cloud
ollama-cloud
gemini-3-flash-previewUnknownUnknown1.05M2025-12-17
FrogBot
frogbot
gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Venice AI
venice
gemini-3-flash-preview$0.700$3.75256K2025-12-19
AIHubMix
aihubmix
gemini-3-flash-preview$0.500$3.001.05M2025-12-17
Requesty
requesty
google/gemini-3-flash-preview$0.500$3.001.05M2025-12-17
LLM Gateway
llmgateway
gemini-3-flash-preview$0.500$3.001.05M2025-12-17
QiHang
qihang-ai
gemini-3-flash-preview$0.070$0.4301.05M2025-12-17

제공자 간 데이터 불일치

  • context_window varies: 1000000, 1048000, 1048576, 1048756, 128000, 256000
  • release_date varies (span 15d): 2025-12-17, 2025-12-18, 2025-12-19, 2026-01
  • modalities varies across offerings

제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.

Frequently asked questions

How much does Gemini 3 Flash Preview cost?

Gemini 3 Flash Preview costs $0.500 per 1M input tokens and $3.00 per 1M output tokens, sourced from google. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Gemini 3 Flash Preview?

Gemini 3 Flash Preview has a context window of 1.05M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Gemini 3 Flash Preview support tool calling?

Yes. Gemini 3 Flash Preview supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Gemini 3 Flash Preview support structured output / JSON mode?

Yes. Gemini 3 Flash Preview supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Gemini 3 Flash Preview accept image input?

Yes. Gemini 3 Flash Preview accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.

Is Gemini 3 Flash Preview open-weight?

No. Gemini 3 Flash Preview is a proprietary model — only Google (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Gemini 3 Flash Preview?

If Gemini 3 Flash Preview doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemma 3 27B. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

마지막 업데이트:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.