Phi-4 14B vs Qwen3.7-Max
Phi-4 14B (2024) and Qwen3.7-Max (2026) are frontier reasoning models from Microsoft Research and Alibaba. Phi-4 14B ships a 16k-token context window, while Qwen3.7-Max ships a 1m-token context window. On Google-Proof Q&A, Qwen3.7-Max leads by 36.3 pts. On pricing, Phi-4 14B costs $0.07/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Phi-4 14B is ~1823% cheaper at $0.07/1M; pay for Qwen3.7-Max only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Phi-4 14B | Qwen3.7-Max |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, tool-calling agents, and long-context analysis |
| Decision fit | Classification and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 16k | 1m |
| Cheapest output | $0.14/1M tokens | $3.75/1M tokens |
| Provider routes | 3 tracked | 4 tracked |
| Shared benchmarks | 1 rows | Google-Proof Q&A leader |
Decision tradeoffs
- Phi-4 14B has the lower cheapest tracked output price at $0.14/1M tokens.
- Phi-4 14B uniquely exposes Structured outputs in local model data.
- Local decision data tags Phi-4 14B for Classification and JSON / Tool use.
- Qwen3.7-Max leads the largest shared benchmark signal on Google-Proof Q&A by 36.3 points.
- Qwen3.7-Max has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.7-Max has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.7-Max uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Qwen3.7-Max for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Phi-4 14B
$87.00
Cheapest tracked route/tier: OpenRouter
Qwen3.7-Max
$1,938
Cheapest tracked route/tier: Novita AI
Estimated monthly gap: $1,851. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.7-Max is $3.61/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- Qwen3.7-Max adds Reasoning, Function calling, and Tool use in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Phi-4 14B is $3.61/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Phi-4 14B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-13 | 2026-05-20 |
| Context window | 16k | 1m |
| Parameters | 14B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Phi-4 14B | Qwen3.7-Max |
|---|---|---|
| Input price | $0.07/1M tokens | $1.25/1M tokens |
| Output price | $0.14/1M tokens | $3.75/1M tokens |
| Providers |
Capabilities
| Capability | Phi-4 14B | Qwen3.7-Max |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Phi-4 14B | Qwen3.7-Max |
|---|---|---|
| Google-Proof Q&A | 56.1 | 92.4 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Phi-4 14B at 56.1 and Qwen3.7-Max at 92.4, with Qwen3.7-Max ahead by 36.3 points. The largest visible gap is 36.3 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on reasoning mode: Qwen3.7-Max, function calling: Qwen3.7-Max, tool use: Qwen3.7-Max, and structured outputs: Phi-4 14B. 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.
For cost, Phi-4 14B lists $0.07/1M input and $0.14/1M output tokens on the cheapest tracked provider, while Qwen3.7-Max lists $1.25/1M input and $3.75/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-4 14B lower by about $1.91 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose Phi-4 14B when provider fit and lower input-token cost are central to the workload. Choose Qwen3.7-Max when reasoning depth, larger context windows, 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.
FAQ
Which has a larger context window, Phi-4 14B or Qwen3.7-Max?
Qwen3.7-Max supports 1m tokens, while Phi-4 14B supports 16k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, Phi-4 14B or Qwen3.7-Max?
Phi-4 14B is cheaper on tracked token pricing. Phi-4 14B costs $0.07/1M input and $0.14/1M output tokens. Qwen3.7-Max costs $1.25/1M input and $3.75/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Phi-4 14B or Qwen3.7-Max open source?
Phi-4 14B is listed under Open Source. Qwen3.7-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 reasoning mode, Phi-4 14B or Qwen3.7-Max?
Qwen3.7-Max 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 function calling, Phi-4 14B or Qwen3.7-Max?
Qwen3.7-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 Qwen3.7-Max?
Phi-4 14B is available on OpenRouter, Fireworks AI, and Microsoft Foundry. Qwen3.7-Max is available on Alibaba Cloud PAI-EAS, Vercel AI Gateway, Novita AI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.