AIAIFindr.app
Pe

Perceptron: Perceptron Mk1.5

by Perceptron

7.8
Quality score / 10

Overview

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

Our take

As an AI video tool and chatbot, Perceptron Mk1.5 distinguishes itself by focusing on embodied reasoning for physical agents. Unlike alternatives such as Xiaomi's MiMo series or Qwen3.8 Omni Flash, which are primarily presented as AI video tools, Perceptron Mk1.5 combines multimodal input — text, image, video, and audio — with structured text outputs including points, boxes, and polygons. This makes it suitable for scenarios requiring precise spatial or temporal annotations, such as analysing video footage to identify and track objects. Its 36,864-token context window is smaller than many contemporary models, yet it offers built-in reasoning and tool/function calling capabilities for more complex problems and agent-style workflows. With an API price of $0.15 per 1M input tokens, it is positioned as a comparatively economical option, cheaper than roughly 75% of similar models, though it lacks a free tier. Ideal for developers and researchers needing a cost-effective, vision-capable model with structured output for agent development, those requiring extensive context windows may find it limiting.

How Perceptron: Perceptron Mk1.5 stacks up

Among the 69 video & audio tools in our directory, it ranks #42 of 51 on quality (7.8/10), 9% below the 51-tool average of 8.6, and its $0.15/1M input-token rate is in the budget end — 81% cheaper than the 33-model average of $0.79/1M.

Weighing quality against cost, Perceptron: Perceptron Mk1.5's cost-per-quality-point of $0.02 places it in the top 27% for value among video & audio tools.

Perceptron: Perceptron Mk1.5 in depth

Perceptron: Perceptron Mk1.5, built by Perceptron, sits in the video & audio and chatbots & llms space and is a paid tool starting at $0.15/1M tokens. Our editors rate it 7.8 out of 10 based on capability, ecosystem and value. It handles a context window of 36,864 tokens.

On the feature side, Perceptron: Perceptron Mk1.5 brings 36,864-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.15 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

Perceptron: Perceptron Mk1.5 is most often chosen for content creation, research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
36,864 tokens
Free tier
No
Updated
2026-09-27

Key features

  • ✓36,864-token context window
  • ✓Vision (image input)
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs

Pricing

$0.15/1M tokens
Pay per token
Paid$0.15/1M tokens
API input
$0.15 / 1M tokens
API output
$1.5 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows

Cons

  • −No free tier — usage is billed per token
  • −Context window of 36,864 tokens is smaller than most current models

Who should use Perceptron: Perceptron Mk1.5

  • →Anyone looking for a video & audio and chatbots & llms tool from Perceptron.
  • →Teams and individuals focused on content creation, research and writing.
  • →People who value low api price — $0.15 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • →Workflows that need a 36,864 tokens context window.

Who should look elsewhere

  • →Anyone who needs a free tier — this tool is paid only.
  • →Those for whom no free tier — usage is billed per token is a dealbreaker.
  • →Users who can't accept that context window of 36,864 tokens is smaller than most current models.

Best for

10 Best Perceptron: Perceptron Mk1.5 Alternatives in 2026

Perceptron: Perceptron Mk1.5 is a strong video & audio tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Perceptron: Perceptron Mk1.5, ranked and compared.

1

Xiaomi

MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Xiaomi: MiMo-V2.6-Pro-UltraSpeed review →
2
Xiaomi: MiMo-V2.6-FlashPaid$0.14/1M tokens

Xiaomi

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with…

+ Low API price — $0.14 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Xiaomi: MiMo-V2.6-Flash review →
3
Xiaomi: MiMo-V2.6-ProPaid$0.43/1M tokens

Xiaomi

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Xiaomi: MiMo-V2.6-Pro review →
4
Qwen: Qwen3.8 Omni FlashPaid$0.15/1M tokens

Qwen

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic…

+ Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.8 Omni Flash review →
5

Meta

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.3 Contributor review →
6
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
7
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
8
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
9
Fireworks: Ember-1Paid$3.00/1M tokens

Fireworks

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Fireworks: Ember-1 review →
10
Qwen: Qwen3.8 Max PrimePaid$4.00/1M tokens

Qwen

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max Prime review →

Perceptron: Perceptron Mk1.5 vs top alternatives

A side-by-side look at how Perceptron: Perceptron Mk1.5 stacks up against its closest rivals.

FeaturePerceptron: Perceptron Mk1.5PerceptronXiaomi: MiMo-V2.6-Pro-UltraSpeedXiaomiXiaomi: MiMo-V2.6-FlashXiaomiXiaomi: MiMo-V2.6-ProXiaomi
Quality score7.8 / 109.2 / 109.2 / 109.2 / 10
Starting price$0.15/1M tokens$4.35/1M tokens$0.14/1M tokens$0.43/1M tokens
Free tierNoNoNoNo
API input price$0.15 / 1M tokens$4.35 / 1M tokens$0.14 / 1M tokens$0.435 / 1M tokens
API output price$1.5 / 1M tokens$8.7 / 1M tokens$0.28 / 1M tokens$0.87 / 1M tokens
Speed————
Context window36,864 tokens1,048,576 tokens1,048,576 tokens1,050,000 tokens
CategoriesVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMs
Key features
  • 36,864-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,050,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
Pros
  • + Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Low API price — $0.14 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Large 1,050,000-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
Cons
  • − No free tier — usage is billed per token
  • − Context window of 36,864 tokens is smaller than most current models
  • − Above-average API pricing ($4.35 per 1M input tokens)
  • − No free tier — usage is billed per token
  • − No free tier — usage is billed per token

Frequently asked questions

Q. Is Perceptron: Perceptron Mk1.5 free?

No — Perceptron: Perceptron Mk1.5 is a paid tool, starting at $0.15/1M tokens.

Q. How much does Perceptron: Perceptron Mk1.5 cost?

Perceptron: Perceptron Mk1.5 starts at $0.15/1M tokens. API usage is around $0.15 per 1M input tokens and $1.5 per 1M output tokens.

Q. What is Perceptron: Perceptron Mk1.5 best for?

Perceptron: Perceptron Mk1.5 is best suited to content creation, research and writing, within the video & audio and chatbots & llms category.

Q. What are the best Perceptron: Perceptron Mk1.5 alternatives?

Popular alternatives to Perceptron: Perceptron Mk1.5 include Xiaomi: MiMo-V2.6-Pro-UltraSpeed, Xiaomi: MiMo-V2.6-Flash, Xiaomi: MiMo-V2.6-Pro and Qwen: Qwen3.8 Omni Flash. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Perceptron: Perceptron Mk1.5?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Perceptron: Perceptron Mk1.5?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Context window of 36,864 tokens is smaller than most current models), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

Ready to try Perceptron: Perceptron Mk1.5?

Start with the official plans and upgrade as you grow.

Visit Perceptron: Perceptron Mk1.5 →