AI 模型情報

Spotlight

openrouter/spotlight

出品方: openrouter · 發布 2025-05-05 · 知識截止: 2025-03-31

$0.180
輸入 / 1M token
$0.180
輸出 / 1M token
131K
上下文長度
66K
最大輸出

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

能力清單

工具呼叫推理結構化輸出附件開放權重溫度可調
支援模態: 輸入 image, text · 輸出 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.

Coding3
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output29
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency73
  • Headline price (log-scaled)73/95
  • Has prompt-cache pricing0/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Vision78
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability1/10
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
$0.99
< $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
$1.98
< $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
$0.45
< $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
$1.62
< $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
$2.27
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定價詳情

推薦定價來自 openrouter · arcee-ai/spotlight

$0.180
輸入
$0.180
輸出

於 1 家供應商可用

服務商服務商模型 ID輸入 / 1M輸出 / 1M上下文發布日期
OpenRouter
openrouter
arcee-ai/spotlight$0.180$0.180131K2025-05-05

Frequently asked questions

How much does Spotlight cost?

Spotlight costs $0.180 per 1M input tokens and $0.180 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Spotlight?

Spotlight has a context window of 131K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Spotlight support tool calling?

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

Does Spotlight support structured output / JSON mode?

No. Spotlight does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can Spotlight accept image input?

Yes. Spotlight accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check openrouter's docs for the exact rule.

Is Spotlight open-weight?

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

What are the best alternatives to Spotlight?

If Spotlight doesn't fit, consider INTELLECT-3, LFM2-24B-A2B, LFM2.5-1.2B-Thinking (free). 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 openrouter models

Capability lists this model is in

最近更新:

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