gemini-3-pro-preview
google/gemini-3-pro-preview제공: Google · 패밀리: gemini-pro · 출시 2025-11-18 · 지식 컷오프: 2025-11
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese 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.
Coding66
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)20/20
- Provider availability6/10
Agents56
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability6/10
JSON / structured output42
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume12/20
Cost efficiency47
- Headline price (log-scaled)47/95
- Has prompt-cache pricing0/5
Long context90
- Context window (100K → 2M)80/90
- Has published price for full window10/10
Vision96
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability6/10
Production-readiness84
- Number of independent providers30/40
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $4.56 < $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 | $9.13 < $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 | $2.85 < $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 | $7.99 < $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 | $8.90 < $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: qihang-ai · gemini-3-pro-preview
6곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| 302.AI 302ai | gemini-3-pro-preview | $2.00 | $12.00 | 1M | 2025-11-19 |
| QiHang qihang-ai | gemini-3-pro-preview | $0.570 | $3.43 | 1M | 2025-11-19 |
| AnyAPI anyapi | google/gemini-3-pro-preview | Unknown | Unknown | 1.05M | 2025-11-18 |
| Jiekou.AI jiekou | gemini-3-pro-preview | $1.80 | $10.80 | 1.05M | 2026-01 |
| Merge Gateway merge-gateway | google/gemini-3-pro-preview | $2.00 | $12.00 | 1.05M | 2025-11-18 |
| Helicone helicone | gemini-3-pro-preview | $2.00 | $12.00 | 1.05M | 2025-11-18 |
제공자 간 데이터 불일치
- context_window varies: 1000000, 1048576
- release_date varies (span 44d): 2025-11-18, 2025-11-19, 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-pro-preview cost?
gemini-3-pro-preview costs $0.570 per 1M input tokens and $3.43 per 1M output tokens, sourced from qihang-ai. 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-pro-preview?
gemini-3-pro-preview has a context window of 1M tokens, with a max output of 64K tokens per reply. This is the total combined size of prompt + completion.
Does gemini-3-pro-preview support tool calling?
Yes. gemini-3-pro-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-pro-preview support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for gemini-3-pro-preview in our data source. Verify with Google's official documentation before relying on it in production.
Can gemini-3-pro-preview accept image input?
Yes. gemini-3-pro-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-pro-preview open-weight?
No. gemini-3-pro-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-pro-preview?
If gemini-3-pro-preview doesn't fit, consider Gemma 4 31B IT, Gemini 3.5 Flash, Gemini 2.5 Flash. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Google models
- Gemma 4 31B IT$0.10 in / $0.25 out
- Gemini 3.5 Flash$1.50 in / $9.00 out
- Gemini 2.5 Flash$0.30 in / $2.50 out
- Gemini 3.1 Pro Preview$2.00 in / $12.00 out
- Gemini 2.5 Pro$1.25 in / $10.00 out
Capability lists this model is in
마지막 업데이트:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.