LLM Reference

Phi-4 14B vs ShieldGemma 9B

Phi-4 14B (2024) and ShieldGemma 9B (2024) are compact production models from Microsoft Research and Google DeepMind. Phi-4 14B ships a 16k-token context window, while ShieldGemma 9B ships a 8k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Phi-4 14B is safer overall; choose ShieldGemma 9B when provider fit matters.

Decision scorecard

Local evidence first
SignalPhi-4 14BShieldGemma 9B
Best forprovider-routed productiongeneral production evaluation
Decision fitClassification and JSON / Tool useClassification
Context window16k8k
Cheapest output$0.14/1M tokens-
Provider routes3 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Phi-4 14B when...
  • Phi-4 14B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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.
Choose ShieldGemma 9B when...
  • Local decision data tags ShieldGemma 9B for Classification.

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

ShieldGemma 9B

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Phi-4 14B -> ShieldGemma 9B
  • No overlapping tracked provider route is sourced for Phi-4 14B and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
ShieldGemma 9B -> Phi-4 14B
  • No overlapping tracked provider route is sourced for ShieldGemma 9B and Phi-4 14B; plan for SDK, billing, or endpoint changes.
  • Phi-4 14B adds Structured outputs in local capability data.

Specs

Specification
Released2024-12-132024-07-01
Context window16k8k
Parameters14B9B
Architecturedecoder onlydecoder only
LicenseMIT(OSI)Gemma
OpennessOpen sourceOpen weights
Commercial useCommercial use allowedCommercial use with conditions
Knowledge cutoff2024-06-

Pricing and availability

Pricing attributePhi-4 14BShieldGemma 9B
Input price$0.07/1M tokens-
Output price$0.14/1M tokens-
Providers

Capabilities

CapabilityPhi-4 14BShieldGemma 9B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

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 ShieldGemma 9B 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 long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose ShieldGemma 9B when provider fit 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 has a larger context window, Phi-4 14B or ShieldGemma 9B?

Phi-4 14B supports 16k tokens, while ShieldGemma 9B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Phi-4 14B or ShieldGemma 9B open source?

Phi-4 14B is listed under MIT. ShieldGemma 9B is listed under Gemma. 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 ShieldGemma 9B?

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 ShieldGemma 9B?

Phi-4 14B is available on OpenRouter, Fireworks AI, and Microsoft Foundry. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Phi-4 14B over ShieldGemma 9B?

Phi-4 14B is safer overall; choose ShieldGemma 9B when provider fit matters. If your workload also depends on long-context analysis, start with Phi-4 14B; if it depends on provider fit, run the same evaluation with ShieldGemma 9B.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.