Phi-4 Mini Flash Reasoning vs ShieldGemma 9B
Phi-4 Mini Flash Reasoning (2025) and ShieldGemma 9B (2024) are frontier reasoning models from Microsoft Research and Google DeepMind. Phi-4 Mini Flash Reasoning ships a 128K-token context window, while ShieldGemma 9B ships a 8K-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 Mini Flash Reasoning fits 16x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.
Specs
| Released | 2025-12-01 | 2024-07-01 |
| Context window | 128K | 8K |
| Parameters | — | 9B |
| Architecture | decoder only | decoder only |
| License | 1 | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Phi-4 Mini Flash Reasoning | ShieldGemma 9B | |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Phi-4 Mini Flash Reasoning | ShieldGemma 9B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Phi-4 Mini Flash Reasoning. 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 Mini Flash Reasoning has no token price sourced yet and ShieldGemma 9B has no token price sourced yet. Provider availability is 1 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 Mini Flash Reasoning when reasoning depth and larger context windows 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 Mini Flash Reasoning or ShieldGemma 9B?
Phi-4 Mini Flash Reasoning supports 128K 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 Mini Flash Reasoning or ShieldGemma 9B open source?
Phi-4 Mini Flash Reasoning is listed under 1. ShieldGemma 9B is listed under 1. 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 Mini Flash Reasoning or ShieldGemma 9B?
Phi-4 Mini Flash Reasoning 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.
Where can I run Phi-4 Mini Flash Reasoning and ShieldGemma 9B?
Phi-4 Mini Flash Reasoning is available on NVIDIA NIM. ShieldGemma 9B is available on NVIDIA NIM. 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.
When should I pick Phi-4 Mini Flash Reasoning over ShieldGemma 9B?
Phi-4 Mini Flash Reasoning fits 16x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls. If your workload also depends on reasoning depth, start with Phi-4 Mini Flash Reasoning; if it depends on provider fit, run the same evaluation with ShieldGemma 9B.
Continue comparing
Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.