LLM ReferenceLLM Reference

Phi-4 Reasoning Vision 15B vs Qwen1.5-110B

Phi-4 Reasoning Vision 15B (2026) and Qwen1.5-110B (2024) are general-purpose language models from Microsoft Research and Alibaba. Phi-4 Reasoning Vision 15B ships a not-yet-sourced context window, while Qwen1.5-110B 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.

Phi-4 Reasoning Vision 15B is safer overall; choose Qwen1.5-110B when provider fit matters.

Decision scorecard

Local evidence first
SignalPhi-4 Reasoning Vision 15BQwen1.5-110B
Decision fitVisionCoding, Classification, and JSON / Tool use
Context window
Cheapest output-$2.5/1M tokens
Provider routes0 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Phi-4 Reasoning Vision 15B when...
  • Phi-4 Reasoning Vision 15B uniquely exposes Multimodal in local model data.
  • Local decision data tags Phi-4 Reasoning Vision 15B for Vision.
Choose Qwen1.5-110B when...
  • Qwen1.5-110B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen1.5-110B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Qwen1.5-110B for Coding, Classification, and JSON / Tool use.

Monthly cost at traffic

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

Phi-4 Reasoning Vision 15B

Unavailable

No complete token price in local provider data

Qwen1.5-110B

$1,825

Cheapest tracked route: Microsoft Foundry

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

Switch friction

Phi-4 Reasoning Vision 15B -> Qwen1.5-110B
  • No overlapping tracked provider route is sourced for Phi-4 Reasoning Vision 15B and Qwen1.5-110B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal before moving production traffic.
  • Qwen1.5-110B adds Structured outputs in local capability data.
Qwen1.5-110B -> Phi-4 Reasoning Vision 15B
  • No overlapping tracked provider route is sourced for Qwen1.5-110B and Phi-4 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Phi-4 Reasoning Vision 15B adds Multimodal in local capability data.

Specs

Specification
Released2026-03-122024-04-25
Context window
Parameters15B110B
Architecture-decoder only
LicenseMicrosoft ResearchApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributePhi-4 Reasoning Vision 15BQwen1.5-110B
Input price-$1.5/1M tokens
Output price-$2.5/1M tokens
Providers-

Capabilities

CapabilityPhi-4 Reasoning Vision 15BQwen1.5-110B
VisionNoNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: Phi-4 Reasoning Vision 15B and structured outputs: Qwen1.5-110B. 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: Phi-4 Reasoning Vision 15B has no token price sourced yet and Qwen1.5-110B has $1.5/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Phi-4 Reasoning Vision 15B when provider fit are central to the workload. Choose Qwen1.5-110B when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is Phi-4 Reasoning Vision 15B or Qwen1.5-110B open source?

Phi-4 Reasoning Vision 15B is listed under Microsoft Research. Qwen1.5-110B is listed under Apache 2.0. 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, Phi-4 Reasoning Vision 15B or Qwen1.5-110B?

Phi-4 Reasoning Vision 15B 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 structured outputs, Phi-4 Reasoning Vision 15B or Qwen1.5-110B?

Qwen1.5-110B 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 Phi-4 Reasoning Vision 15B and Qwen1.5-110B?

Phi-4 Reasoning Vision 15B is available on the tracked providers still being sourced. Qwen1.5-110B is available on Microsoft Foundry and Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Phi-4 Reasoning Vision 15B over Qwen1.5-110B?

Phi-4 Reasoning Vision 15B is safer overall; choose Qwen1.5-110B when provider fit matters. If your workload also depends on provider fit, start with Phi-4 Reasoning Vision 15B; if it depends on provider fit, run the same evaluation with Qwen1.5-110B.

Continue comparing

Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.