AIモデルインテリジェンス

Embed v1 4b

vercel/pplx-embed-v1-4b

提供: vercel · リリース 2026-02-26

⚠ これはコミュニティのファインチューン / 派生モデルで、ベンダーの公式リリースではありません。

不明
入力 / 100万トークン
不明
出力 / 100万トークン
32K
コンテキスト長
Unknown
最大出力

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

機能一覧

ツール呼び出し推論? 構造化出力添付オープンウェイト? 温度制御
モダリティ: 入力 text · 出力 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-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • 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.

1 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
Vercel AI Gateway
vercel
perplexity/pplx-embed-v1-4bUnknownUnknown32K2026-02-26

Frequently asked questions

How much does Embed v1 4b cost?

Embed v1 4b 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.

What is the context window of Embed v1 4b?

Embed v1 4b has a context window of 32K tokens. This is the total combined size of prompt + completion.

Does Embed v1 4b support tool calling?

No. Embed v1 4b does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Embed v1 4b support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Embed v1 4b in our data source. Verify with vercel's official documentation before relying on it in production.

Can Embed v1 4b accept image input?

No. Embed v1 4b only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Embed v1 4b open-weight?

No. Embed v1 4b 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 Embed v1 4b?

If Embed v1 4b doesn't fit, consider Hy3, S1, Transcribe-1. 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 vercel models

最終更新:

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