Perceptron: Perceptron Mk1
kilo/perceptron-mk1من kilo · أُصدِر 2026-05-12
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
Model fit scores
0–100 · higher is betterThese 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.
Coding11
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents21
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output27
- Structured output / JSON mode0/50
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
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. |
تفاصيل التسعير
السعر المُوصى به من kilo · perceptron/perceptron-mk1
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| Kilo Gateway kilo | perceptron/perceptron-mk1 | $0.150 | $1.50 | 33K | 2026-05-12 |
Frequently asked questions
How much does Perceptron: Perceptron Mk1 cost?
Perceptron: Perceptron Mk1 costs $0.150 per 1M input tokens and $1.50 per 1M output tokens, sourced from kilo. 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: Perceptron Mk1?
Perceptron: 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: Perceptron Mk1 support tool calling?
No. Perceptron: 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: Perceptron Mk1 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Perceptron: Perceptron Mk1 in our data source. Verify with kilo's official documentation before relying on it in production.
Can Perceptron: Perceptron Mk1 accept image input?
Yes. Perceptron: Perceptron Mk1 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check kilo's docs for the exact rule.
Is Perceptron: Perceptron Mk1 open-weight?
No. Perceptron: Perceptron Mk1 is a proprietary model — only kilo (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Perceptron: Perceptron Mk1?
If Perceptron: Perceptron Mk1 doesn't fit, consider Free Models Router, Prime Intellect: INTELLECT-3, LiquidAI: LFM2-24B-A2B. 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.
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Capability lists this model is in
آخر تحديث:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.