Phi-4 Mini Reasoning vs Qwen1.5-110B
Phi-4 Mini Reasoning (2026) and Qwen1.5-110B (2024) are frontier reasoning models from Microsoft Research and Alibaba. Phi-4 Mini Reasoning 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 Mini Reasoning is safer overall; choose Qwen1.5-110B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Phi-4 Mini Reasoning | Qwen1.5-110B |
|---|---|---|
| Decision fit | General | Coding, Classification, and JSON / Tool use |
| Context window | — | — |
| Cheapest output | - | $2.5/1M tokens |
| Provider routes | 0 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.
- 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 Mini Reasoning
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
- No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Qwen1.5-110B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Qwen1.5-110B adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen1.5-110B and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Phi-4 Mini Reasoning adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-16 | 2024-04-25 |
| Context window | — | — |
| Parameters | — | 110B |
| Architecture | - | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Phi-4 Mini Reasoning | Qwen1.5-110B |
|---|---|---|
| Input price | - | $1.5/1M tokens |
| Output price | - | $2.5/1M tokens |
| Providers | - |
Capabilities
| Capability | Phi-4 Mini Reasoning | Qwen1.5-110B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
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 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 Mini Reasoning 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 Mini Reasoning when reasoning depth 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 Mini Reasoning or Qwen1.5-110B open source?
Phi-4 Mini Reasoning is listed under Proprietary. 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 reasoning mode, Phi-4 Mini Reasoning or Qwen1.5-110B?
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.
Which is better for structured outputs, Phi-4 Mini Reasoning 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 Mini Reasoning and Qwen1.5-110B?
Phi-4 Mini Reasoning 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 Mini Reasoning over Qwen1.5-110B?
Phi-4 Mini Reasoning is safer overall; choose Qwen1.5-110B when provider fit matters. If your workload also depends on reasoning depth, start with Phi-4 Mini Reasoning; 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.