Phi-4 14B vs Starling LM 7B Beta
Phi-4 14B (2024) and Starling LM 7B Beta (2024) are general-purpose language models from Microsoft Research and Nexusflow. Phi-4 14B ships a not-yet-sourced context window, while Starling LM 7B Beta ships a not-yet-sourced context window. On Google-Proof Q&A, Phi-4 14B leads by 6.4 pts. 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 safer overall; choose Starling LM 7B Beta when provider fit matters.
Decision scorecard
Local evidence first| Signal | Phi-4 14B | Starling LM 7B Beta |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | Coding and Classification |
| Context window | — | — |
| Cheapest output | $0.14/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 2 rows |
Decision tradeoffs
- Phi-4 14B leads the largest shared benchmark signal on Google-Proof Q&A by 6.4 points.
- Phi-4 14B has broader tracked provider coverage for fallback and procurement flexibility.
- Phi-4 14B uniquely exposes Structured outputs in local model data.
- Local decision data tags Phi-4 14B for Classification and JSON / Tool use.
- Local decision data tags Starling LM 7B Beta for Coding and Classification.
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
Starling LM 7B Beta
Unavailable
No complete token price in local provider data
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 14B and Starling LM 7B Beta; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Starling LM 7B Beta and Phi-4 14B; plan for SDK, billing, or endpoint changes.
- Phi-4 14B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-13 | 2024-02-05 |
| Context window | — | — |
| Parameters | 14B | 7B |
| Architecture | decoder only | decoder only |
| License | Open Source | Unknown |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Phi-4 14B | Starling LM 7B Beta |
|---|---|---|
| Input price | $0.07/1M tokens | - |
| Output price | $0.14/1M tokens | - |
| Providers |
Capabilities
| Capability | Phi-4 14B | Starling LM 7B Beta |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
| Benchmark | Phi-4 14B | Starling LM 7B Beta |
|---|---|---|
| Google-Proof Q&A | 56.1 | 49.7 |
| Massive Multitask Language Understanding | 84.8 | 77.8 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Phi-4 14B at 56.1 and Starling LM 7B Beta at 49.7, with Phi-4 14B ahead by 6.4 points; Massive Multitask Language Understanding has Phi-4 14B at 84.8 and Starling LM 7B Beta at 77.8, with Phi-4 14B ahead by 7 points. The largest visible gap is 7 points on Massive Multitask Language Understanding, 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 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.
Pricing coverage is uneven: Phi-4 14B has $0.07/1M input tokens and Starling LM 7B Beta has no token price sourced yet. Provider availability is 3 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 14B when provider fit and broader provider choice are central to the workload. Choose Starling LM 7B Beta when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Is Phi-4 14B or Starling LM 7B Beta open source?
Phi-4 14B is listed under Open Source. Starling LM 7B Beta is listed under Unknown. 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 structured outputs, Phi-4 14B or Starling LM 7B Beta?
Phi-4 14B 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 14B and Starling LM 7B Beta?
Phi-4 14B is available on OpenRouter, Fireworks AI, and Microsoft Foundry. Starling LM 7B Beta is available on Cloudflare Workers AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Phi-4 14B over Starling LM 7B Beta?
Phi-4 14B is safer overall; choose Starling LM 7B Beta when provider fit matters. If your workload also depends on provider fit, start with Phi-4 14B; if it depends on provider fit, run the same evaluation with Starling LM 7B Beta.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.