Phi-4 14B vs Qwen3-Max
Phi-4 14B (2024) and Qwen3-Max (2026) are compact production models from Microsoft Research and Alibaba. Phi-4 14B ships a not-yet-sourced context window, while Qwen3-Max ships a 128K-token context window. On pricing, Phi-4 14B costs $0.07/1M input tokens versus $0.78/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Phi-4 14B is ~1100% cheaper at $0.07/1M; pay for Qwen3-Max only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Phi-4 14B | Qwen3-Max |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | Coding, RAG, and Agents |
| Context window | — | 128K |
| Cheapest output | $0.14/1M tokens | $3.9/1M tokens |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Phi-4 14B has the lower cheapest tracked output price at $0.14/1M tokens.
- Phi-4 14B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Phi-4 14B for Classification and JSON / Tool use.
- Qwen3-Max has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3-Max uniquely exposes Vision, Multimodal, and Function calling 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 14B
$87.00
Cheapest tracked route: OpenRouter
Qwen3-Max
$1,599
Cheapest tracked route: OpenRouter
Estimated monthly gap: $1,512. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3-Max is $3.76/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3-Max adds Vision, Multimodal, and Function calling in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Phi-4 14B is $3.76/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-13 | 2026-01-15 |
| Context window | — | 128K |
| Parameters | 14B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | 2025-12 |
Pricing and availability
| Pricing attribute | Phi-4 14B | Qwen3-Max |
|---|---|---|
| Input price | $0.07/1M tokens | $0.78/1M tokens |
| Output price | $0.14/1M tokens | $3.9/1M tokens |
| Providers |
Capabilities
| Capability | Phi-4 14B | Qwen3-Max |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | 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, multimodal input: Qwen3-Max, function calling: Qwen3-Max, and tool use: Qwen3-Max. Both models share structured outputs, 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.
For cost, Phi-4 14B lists $0.07/1M input and $0.14/1M output tokens, while Qwen3-Max lists $0.78/1M input and $3.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-4 14B lower by about $1.63 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Phi-4 14B when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Qwen3-Max when vision-heavy evaluation 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
Which is cheaper, Phi-4 14B or Qwen3-Max?
Phi-4 14B is cheaper on tracked token pricing. Phi-4 14B costs $0.07/1M input and $0.14/1M output tokens. Qwen3-Max costs $0.78/1M input and $3.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Phi-4 14B or Qwen3-Max open source?
Phi-4 14B is listed under Open Source. 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 14B 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 14B or Qwen3-Max?
Qwen3-Max 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 function calling, Phi-4 14B 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.
Where can I run Phi-4 14B and Qwen3-Max?
Phi-4 14B is available on OpenRouter, Fireworks AI, and Microsoft Foundry. Qwen3-Max is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.