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Gemini Embedding 001

sap-ai-core/gemini-embedding

من sap-ai-core · العائلة: gemini · أُصدِر 2025-05-20 · تاريخ المعرفة: 2025-05

⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.

غير معروف
الإدخال / 1M رمز
غير معروف
الإخراج / 1M رمز
2K
نافذة السياق
1
أقصى إخراج

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

القدرات

استدعاء الأدواتتفكير? إخراج منظمالمرفقاتأوزان مفتوحةالتحكم بالحرارة
الوسائط المدعومة: إدخال text · إخراج 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.

Coding1
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents1
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output0
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context0
  • Context ≥ 100K0/100
Production-readiness15
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K0/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

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.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

متاح لدى 1 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
SAP AI Core
sap-ai-core
gemini-embeddingUnknownUnknown2K2025-05-20

Frequently asked questions

How much does Gemini Embedding 001 cost?

Gemini Embedding 001 does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check sap-ai-core's official pricing page for the most current rates.

What is the context window of Gemini Embedding 001?

Gemini Embedding 001 has a context window of 2K tokens, with a max output of 1 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 sap-ai-core'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 sap-ai-core (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 amazon--nova-pro, amazon--titan-embed-text, amazon--nova-lite. 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.

More sap-ai-core models

آخر تحديث:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.