LLM Reference

Marin 8B Base vs Phi-4 Mini Reasoning

Marin 8B Base (2025) and Phi-4 Mini Reasoning (2026) are frontier reasoning models from Marin and Microsoft Research. Marin 8B Base ships a 4k-token context window, while Phi-4 Mini Reasoning ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Phi-4 Mini Reasoning fits 31x more tokens; pick it for long-context work and Marin 8B Base for tighter calls.

Decision scorecard

Local evidence first
SignalMarin 8B BasePhi-4 Mini Reasoning
Best forgeneral production evaluationreasoning-heavy apps
Decision fitGeneralLong context
Context window4k128k
Cheapest output--
Provider routes0 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Marin 8B Base when...
  • Use Marin 8B Base when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Choose Phi-4 Mini Reasoning when...
  • Phi-4 Mini Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.
  • Local decision data tags Phi-4 Mini Reasoning for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Marin 8B Base

Unavailable

No complete token price in local provider data

Phi-4 Mini Reasoning

Unavailable

No complete token price in local provider data

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

Switch friction

Marin 8B Base -> Phi-4 Mini Reasoning
  • No overlapping tracked provider route is sourced for Marin 8B Base and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
  • Phi-4 Mini Reasoning adds Reasoning in local capability data.
Phi-4 Mini Reasoning -> Marin 8B Base
  • No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Marin 8B Base; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.

Specs

Specification
Released2025-05-152026-05-16
Context window4k128k
Parameters8B3.8B
Architecturedecoder only-
LicenseApache 2.0(OSI)MIT(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2024-072025-02

Pricing and availability

Pricing attributeMarin 8B BasePhi-4 Mini Reasoning
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityMarin 8B BasePhi-4 Mini Reasoning
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Phi-4 Mini Reasoning. Both models share the core language-model surface, 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: Marin 8B Base has no token price sourced yet and Phi-4 Mini Reasoning has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Marin 8B Base when provider fit are central to the workload. Choose Phi-4 Mini Reasoning when reasoning depth and larger context windows 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

Which has a larger context window, Marin 8B Base or Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning supports 128k tokens, while Marin 8B Base supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Marin 8B Base or Phi-4 Mini Reasoning open source?

Marin 8B Base is listed under Apache 2.0. Phi-4 Mini Reasoning is listed under MIT. 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 reasoning mode, Marin 8B Base or Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning 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.

When should I pick Marin 8B Base over Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning fits 31x more tokens; pick it for long-context work and Marin 8B Base for tighter calls. If your workload also depends on provider fit, start with Marin 8B Base; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Reasoning.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.