AI 모델 인텔리전스

Interfaze Beta

vercel/interfaze-beta

제공: vercel · 출시 2025-10-07

$1.50
입력 / 1M 토큰
$3.50
출력 / 1M 토큰
1M
컨텍스트 창
32K
최대 출력

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

기능

도구 호출추론? 구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text · 출력 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.

Coding31
  • Tool calling0/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents31
  • Tool calling0/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output20
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume10/20
Cost efficiency45
  • Headline price (log-scaled)45/95
  • Has prompt-cache pricing0/5
Long context90
  • Context window (100K → 2M)80/90
  • Has published price for full window10/10
Production-readiness65
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • 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.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$9.25
< $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
$18.50
< $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
$4.75
< $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
$15.50
$0.02 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$20.10
$0.02 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: vercel · interfaze/interfaze-beta

$1.50
입력
$3.50
출력

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Vercel AI Gateway
vercel
interfaze/interfaze-beta$1.50$3.501M2025-10-07

Frequently asked questions

How much does Interfaze Beta cost?

Interfaze Beta costs $1.50 per 1M input tokens and $3.50 per 1M output tokens, sourced from vercel. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Interfaze Beta?

Interfaze Beta has a context window of 1M tokens, with a max output of 32K tokens per reply. This is the total combined size of prompt + completion.

Does Interfaze Beta support tool calling?

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

Does Interfaze Beta support structured output / JSON mode?

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

Can Interfaze Beta accept image input?

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

Is Interfaze Beta open-weight?

No. Interfaze Beta 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 Interfaze Beta?

If Interfaze Beta 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

Capability lists this model is in

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.