Phi-4 Reasoning Vision 15B vs Qwen3-Max
Phi-4 Reasoning Vision 15B (2026) and Qwen3-Max (2026) are compact production models from Microsoft Research and Alibaba. Phi-4 Reasoning Vision 15B ships a not-yet-sourced context window, while Qwen3-Max 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. The goal is to make the tradeoff clear before deeper testing.
Phi-4 Reasoning Vision 15B is safer overall; choose Qwen3-Max when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Phi-4 Reasoning Vision 15B | Qwen3-Max |
|---|---|---|
| Decision fit | Vision | Coding, RAG, and Agents |
| Context window | — | 128K |
| Cheapest output | - | $3.9/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Phi-4 Reasoning Vision 15B for Vision.
- Qwen3-Max has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3-Max has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3-Max uniquely exposes Vision, Function calling, and Tool use in local model data.
- Local decision data tags Qwen3-Max for Coding, RAG, and Agents.
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
Qwen3-Max
$1,599
Cheapest tracked route: OpenRouter
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 Reasoning Vision 15B and Qwen3-Max; plan for SDK, billing, or endpoint changes.
- Qwen3-Max adds Vision, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen3-Max and Phi-4 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-12 | 2026-01-15 |
| Context window | — | 128K |
| Parameters | 15B | — |
| Architecture | - | decoder only |
| License | Microsoft Research | Proprietary |
| Knowledge cutoff | - | 2025-12 |
Pricing and availability
| Pricing attribute | Phi-4 Reasoning Vision 15B | Qwen3-Max |
|---|---|---|
| Input price | - | $0.78/1M tokens |
| Output price | - | $3.9/1M tokens |
| Providers | - |
Capabilities
| Capability | Phi-4 Reasoning Vision 15B | Qwen3-Max |
|---|---|---|
| Vision | No | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| 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 vision: Qwen3-Max, function calling: Qwen3-Max, tool use: Qwen3-Max, and structured outputs: Qwen3-Max. Both models share multimodal input, 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 Qwen3-Max has $0.78/1M input tokens. 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 Phi-4 Reasoning Vision 15B when provider fit are central to the workload. Choose Qwen3-Max when vision-heavy evaluation 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 Qwen3-Max open source?
Phi-4 Reasoning Vision 15B is listed under Microsoft Research. Qwen3-Max is listed under Proprietary. 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 vision, Phi-4 Reasoning Vision 15B or Qwen3-Max?
Qwen3-Max has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Phi-4 Reasoning Vision 15B or Qwen3-Max?
Both Phi-4 Reasoning Vision 15B and Qwen3-Max expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, Phi-4 Reasoning Vision 15B or Qwen3-Max?
Qwen3-Max has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Phi-4 Reasoning Vision 15B or Qwen3-Max?
Qwen3-Max has the clearer documented tool use signal in this comparison. If tool use 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 Qwen3-Max?
Phi-4 Reasoning Vision 15B is available on the tracked providers still being sourced. Qwen3-Max is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.