Gemini Embedding 001
google/gemini-embedding-001제공: Google · 패밀리: gemini · 출시 2025-05-20 · 지식 컷오프: 2025-05
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.
Coding3
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability3/10
Agents3
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability3/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume20/20
Cost efficiency82
- Headline price (log-scaled)82/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness58
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K0/15
- No data inconsistencies across providers8/10
- 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 | $0.75 < $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 | $1.50 < $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 | $0.30 < $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 | $1.20 < $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 | $1.80 < $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-embedding-001
3곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Google google | gemini-embedding-001 | $0.150 | Unknown | 2K | 2025-05-20 |
| Vertex google-vertex | gemini-embedding-001 | $0.150 | Unknown | 2K | 2025-05-20 |
| Vercel AI Gateway vercel | google/gemini-embedding-001 | $0.150 | Unknown | 8K | 2025-05-20 |
제공자 간 데이터 불일치
- context_window varies: 2048, 8192
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Gemini Embedding 001 cost?
Gemini Embedding 001 costs $0.150 per 1M input tokens and Unknown 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 Embedding 001?
Gemini Embedding 001 has a context window of 2K tokens, with a max output of 3K tokens per reply. This is the total combined size of prompt + completion.
Does Gemini Embedding 001 support tool calling?
No. Gemini Embedding 001 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Gemini Embedding 001 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Gemini Embedding 001 in our data source. Verify with Google's official documentation before relying on it in production.
Can Gemini Embedding 001 accept image input?
No. Gemini Embedding 001 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Gemini Embedding 001 open-weight?
No. Gemini Embedding 001 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 Embedding 001?
If Gemini Embedding 001 doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. 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.
Explore more
More Google models
- Gemini 2.5 Pro$1.25 in / $10.00 out
- Gemini 2.5 Flash$0.30 in / $2.50 out
- Gemini 3 Flash Preview$0.50 in / $3.00 out
- Gemma 3 27B$0.03 in / $0.11 out
- Gemini 3.1 Pro Preview$2.00 in / $12.00 out
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.