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Perceptron Mk1 vs Phi-4 Reasoning Vision 15B

Perceptron Mk1 (2026) and Phi-4 Reasoning Vision 15B (2026) are frontier reasoning models from Perceptron and Microsoft Research. Perceptron Mk1 ships a 33K-token context window, while Phi-4 Reasoning Vision 15B ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Perceptron Mk1 is safer overall; choose Phi-4 Reasoning Vision 15B when provider fit matters.

Decision scorecard

Local evidence first
SignalPerceptron Mk1Phi-4 Reasoning Vision 15B
Decision fitVision and JSON / Tool useVision
Context window33K
Cheapest output$1.5/1M tokens-
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Perceptron Mk1 when...
  • Perceptron Mk1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Perceptron Mk1 has broader tracked provider coverage for fallback and procurement flexibility.
  • Perceptron Mk1 uniquely exposes Vision, Reasoning, and Structured outputs in local model data.
  • Local decision data tags Perceptron Mk1 for Vision and JSON / Tool use.
Choose Phi-4 Reasoning Vision 15B when...
  • Local decision data tags Phi-4 Reasoning Vision 15B for Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Perceptron Mk1

$495

Cheapest tracked route: OpenRouter

Phi-4 Reasoning Vision 15B

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Perceptron Mk1 -> Phi-4 Reasoning Vision 15B
  • No overlapping tracked provider route is sourced for Perceptron Mk1 and Phi-4 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Reasoning, and Structured outputs before moving production traffic.
Phi-4 Reasoning Vision 15B -> Perceptron Mk1
  • No overlapping tracked provider route is sourced for Phi-4 Reasoning Vision 15B and Perceptron Mk1; plan for SDK, billing, or endpoint changes.
  • Perceptron Mk1 adds Vision, Reasoning, and Structured outputs in local capability data.

Specs

Specification
Released2026-05-122026-03-12
Context window33K
Parameters15B
Architecturedecoder only-
LicenseProprietaryMicrosoft Research
Knowledge cutoff--

Pricing and availability

Pricing attributePerceptron Mk1Phi-4 Reasoning Vision 15B
Input price$0.15/1M tokens-
Output price$1.5/1M tokens-
Providers-

Capabilities

CapabilityPerceptron Mk1Phi-4 Reasoning Vision 15B
VisionYesNo
MultimodalYesYes
ReasoningYesNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Perceptron Mk1, reasoning mode: Perceptron Mk1, and structured outputs: Perceptron Mk1. Both models share multimodal input, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Perceptron Mk1 has $0.15/1M input tokens and Phi-4 Reasoning Vision 15B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Perceptron Mk1 when reasoning depth and broader provider choice are central to the workload. Choose Phi-4 Reasoning Vision 15B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is Perceptron Mk1 or Phi-4 Reasoning Vision 15B open source?

Perceptron Mk1 is listed under Proprietary. Phi-4 Reasoning Vision 15B is listed under Microsoft Research. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Perceptron Mk1 or Phi-4 Reasoning Vision 15B?

Perceptron Mk1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Perceptron Mk1 or Phi-4 Reasoning Vision 15B?

Both Perceptron Mk1 and Phi-4 Reasoning Vision 15B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, Perceptron Mk1 or Phi-4 Reasoning Vision 15B?

Perceptron Mk1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, Perceptron Mk1 or Phi-4 Reasoning Vision 15B?

Perceptron Mk1 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Perceptron Mk1 and Phi-4 Reasoning Vision 15B?

Perceptron Mk1 is available on OpenRouter. Phi-4 Reasoning Vision 15B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-18. Data sourced from public model cards and provider documentation.