AI 模型情报

Perceptron Mk1

openrouter/perceptron-mk1

出品方： openrouter · 发布 2026-05-12

$0.150
输入 / 1M token
$1.50
输出 / 1M token
33K
上下文长度
8K
最大输出

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

能力清单

✗ 工具调用✓ 推理✓ 结构化输出✓ 附件✗ 开放权重✓ 温度可调
支持模态: 输入 text, image, video · 输出 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.

Coding31
  • Tool calling0/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents46
  • Tool calling0/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output77
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume17/20
Cost efficiency57
  • Headline price (log-scaled)57/95
  • Has prompt-cache pricing0/5
Long context0
  • Context ≥ 100K0/100
Vision69
  • Accepts image input50/50
  • Context window (10K → 1M)8/30
  • 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
$1.50
< $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
$3.00
< $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
$1.05
< $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
$2.70
< $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
$2.70
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定价详情

推荐定价来自 openrouter · perceptron/perceptron-mk1

$0.150
输入
$1.50
输出

在 1 家渠道可用

服务商服务商模型 ID输入 / 1M输出 / 1M上下文发布日期
OpenRouter
openrouter
perceptron/perceptron-mk1$0.150$1.5033K2026-05-12

Frequently asked questions

How much does Perceptron Mk1 cost?

Perceptron Mk1 costs $0.150 per 1M input tokens and $1.50 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 Perceptron Mk1?

Perceptron Mk1 has a context window of 33K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does Perceptron Mk1 support tool calling?

No. Perceptron Mk1 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Perceptron Mk1 support structured output / JSON mode?

Yes. Perceptron Mk1 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Perceptron Mk1 accept image input?

Yes. Perceptron Mk1 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 Perceptron Mk1 open-weight?

No. Perceptron Mk1 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 Perceptron Mk1?

If Perceptron Mk1 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.

Explore more

More openrouter models

Capability lists this model is in

See also

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.