Phi-4 Reasoning Vision 15B
Read documents and images while solving multi-step math, science, and reasoning problems: Phi-4-Reasoning-Vision-15B pairs a reasoning backbone with a vision encoder. Microsoft tested it on A6000 through B200 GPUs; check your own hardware's memory and runtime before deploying.
The verdict on Phi-4 Reasoning Vision 15B: Developers who need document and image understanding plus multi-step reasoning, and are willing to check their own hardware's memory and runtime against Microsoft's tested configurations (A6000 through B200) before deploying Phi-4-Reasoning-Vision-15B's pitch is combining vision understanding with genuine multi-step reasoning in a single open-weight model. Pricing: Free MIT-licensed model weights; hardware, serving, and any hosted-provider charges are separate..
Best For
Developers who need document and image understanding plus multi-step reasoning, and are willing to check their own hardware's memory and runtime against Microsoft's tested configurations (A6000 through B200) before deploying
Standout Feature
Combines a reasoning-tuned backbone with a vision encoder in a single 15B open-weight model, able to read documents and images while solving multi-step problems
TL;DR
Evaluate Phi-4 Reasoning Vision 15B for image/document reasoning on infrastructure you control; verify memory and runtime needs for the chosen configuration.
Alternatives
Fit Score: use-case reference
How this is scoredPhi-4 Reasoning Vision 15B scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
Document and image understanding with reasoning
3.2/5- Capability
- 4/5
- Reliability
- 3/5
- Value
- 4/5
- Ease
- 2/5
- Compatibility
- 3/5
Combine document and image understanding with multi-step reasoning on infrastructure you control. Free model weights avoid a model-license charge, but hardware and serving still cost money. ML deployment work and checks against the tested configurations make this a technical implementation rather than a ready-to-use application.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Phi-4-Reasoning-Vision-15B is Microsoft's vision-and-reasoning small language model, combining a Phi-4-Reasoning backbone with a SigLIP-2 vision encoder so it can read documents and images alongside solving math, science, and multi-step reasoning problems. Released under the MIT license, it accepts text and image input and produces text output with a 16,384-token context window. Microsoft's own model card lists testing on A6000, A100, H100, and B200 GPUs and recommends bf16 serving; that's the tested configuration, not a stated minimum, so check your own hardware's available memory and runtime before deploying rather than assuming a data-center GPU is mandatory.
It's available for download via Hugging Face and Azure AI Foundry with permissive licensing for commercial use. A separate, smaller-parameter original Phi-4 family (3.8B-14B) also exists; this entry covers the newer reasoning-vision variant specifically. Use cases include document and UI understanding, visual math and science problem solving, and fine-tuning as a base model for specialized multimodal tasks.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Excellent quality-per-parameter
- • Free and open (MIT license)
- • Combines vision and reasoning in one model
- • Check your own hardware's memory and runtime; Microsoft's tested configurations are A6000 through B200 GPUs
- • Needs ML setup to deploy
Key Features
- Vision + reasoning in one 15B model
- Open weights (MIT license)
- 16,384-token context window
- Tested by Microsoft on A6000, A100, H100, and B200 GPUs (verify your own hardware before deploying)
Trust & Data
Verified 2026-09
- Training on your data
- Not publishedThis entry covers the downloadable Phi-4 Reasoning Vision 15B weights and their MIT license. Privacy and retention are determined by the runtime, connected services, logging, and any hosting provider you choose; the weights release is not itself a hosted-service privacy commitment.
- Compliance
- Not published
- Retention
- Not published
- Export
- Not published
Source: huggingface.co
As published by the vendor. Verify independently before purchase decisions.
Our Take
It reads documents and images and grounds UI elements while solving math and science problems. Microsoft's own testing targets bf16 serving on A6000, A100, H100, and B200 GPUs; that's the tested configuration rather than a hard minimum, so check your own hardware's memory and runtime rather than assuming you do or don't need data-center-class hardware. If you need vision-plus-reasoning on infrastructure you control, this is worth evaluating seriously. If you want a genuinely lightweight edge model, check whether the original smaller Phi-4 variants (3.8B-14B) fit better, or use a hosted API to skip the ML setup entirely.