LLM ReferenceLLM Reference

Granite Vision 4.1 4B vs Phi-4 Mini Flash Reasoning

Granite Vision 4.1 4B (2026) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from IBM Research and Microsoft Research. Granite Vision 4.1 4B ships a not-yet-sourced context window, while Phi-4 Mini Flash Reasoning ships a 128K-token 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.

Granite Vision 4.1 4B is safer overall; choose Phi-4 Mini Flash Reasoning when reasoning depth matters.

Specs

Specification
Released2026-04-292025-12-01
Context window128K
Parameters4B
ArchitectureSigLIP2 vision encoder + Window Q-Former projectors + Granite 4.1 3B LLM with LoRA rank 256decoder only
LicenseOpen Source1
Knowledge cutoff--

Pricing and availability

Pricing attributeGranite Vision 4.1 4BPhi-4 Mini Flash Reasoning
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityGranite Vision 4.1 4BPhi-4 Mini Flash Reasoning
VisionNoNo
MultimodalYesNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: Granite Vision 4.1 4B and reasoning mode: Phi-4 Mini Flash 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: Granite Vision 4.1 4B has no token price sourced yet and Phi-4 Mini Flash Reasoning has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Granite Vision 4.1 4B when provider fit are central to the workload. Choose Phi-4 Mini Flash Reasoning when reasoning depth and broader provider choice 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.

FAQ

Is Granite Vision 4.1 4B or Phi-4 Mini Flash Reasoning open source?

Granite Vision 4.1 4B is listed under Open Source. Phi-4 Mini Flash Reasoning is listed under 1. 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 multimodal input, Granite Vision 4.1 4B or Phi-4 Mini Flash Reasoning?

Granite Vision 4.1 4B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Granite Vision 4.1 4B or Phi-4 Mini Flash Reasoning?

Phi-4 Mini Flash 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.

Where can I run Granite Vision 4.1 4B and Phi-4 Mini Flash Reasoning?

Granite Vision 4.1 4B is available on the tracked providers still being sourced. Phi-4 Mini Flash Reasoning is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Granite Vision 4.1 4B over Phi-4 Mini Flash Reasoning?

Granite Vision 4.1 4B is safer overall; choose Phi-4 Mini Flash Reasoning when reasoning depth matters. If your workload also depends on provider fit, start with Granite Vision 4.1 4B; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Flash Reasoning.

Continue comparing

Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.