Intelligence des modèles d'IA

Gemini Embedding 2

vercel/gemini-embedding-2

Par vercel · famille: gemini-embedding · sorti 2026-03-10

⚠ Il s'agit d'un fine-tune communautaire ou dérivé — pas d'une publication officielle de l'éditeur.

Inconnu
Entrée / 1M jetons
Inconnu
Sortie / 1M jetons
Unknown
Fenêtre de contexte
Unknown
Sortie max

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

Capacités

Tool callingRaisonnement? Sortie structuréePièces jointesPoids ouvertsContrôle de température
Modalités: entrée text · sortie 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 output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • 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.

Disponible chez 1 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
Vercel AI Gateway
vercel
google/gemini-embedding-2UnknownUnknownUnknown2026-03-10

Frequently asked questions

How much does Gemini Embedding 2 cost?

Gemini Embedding 2 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 vercel's official pricing page for the most current rates.

Does Gemini Embedding 2 support tool calling?

No. Gemini Embedding 2 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Gemini Embedding 2 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Gemini Embedding 2 in our data source. Verify with vercel's official documentation before relying on it in production.

Can Gemini Embedding 2 accept image input?

No. Gemini Embedding 2 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Gemini Embedding 2 open-weight?

No. Gemini Embedding 2 is a proprietary model — only vercel (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Gemini Embedding 2?

If Gemini Embedding 2 doesn't fit, consider Trinity Mini, Trinity Large Thinking, Trinity Large 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.

More vercel models

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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.