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Phi-3 Mini 4k vs ShieldGemma 9B

Phi-3 Mini 4k (2024) and ShieldGemma 9B (2024) are compact production models from Microsoft Research and Google DeepMind. Phi-3 Mini 4k ships a 4K-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.

ShieldGemma 9B is safer overall; choose Phi-3 Mini 4k when provider fit matters.

Specs

Released2024-04-232024-07-01
Context window4K8K
Parameters3.8B9B
Architecturedecoder onlydecoder only
LicenseOpen Source1
Knowledge cutoff--

Pricing and availability

Phi-3 Mini 4kShieldGemma 9B
Input price$0.05/1M tokens-
Output price$0.25/1M tokens-
Providers

Capabilities

Phi-3 Mini 4kShieldGemma 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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

Pricing coverage is uneven: Phi-3 Mini 4k has $0.05/1M input tokens and ShieldGemma 9B has no token price sourced yet. Provider availability is 4 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-3 Mini 4k when provider fit and broader provider choice are central to the workload. Choose ShieldGemma 9B when long-context analysis and larger context windows 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-3 Mini 4k or ShieldGemma 9B?

ShieldGemma 9B supports 8K tokens, while Phi-3 Mini 4k supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Phi-3 Mini 4k or ShieldGemma 9B open source?

Phi-3 Mini 4k is listed under Open Source. 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.

Where can I run Phi-3 Mini 4k and ShieldGemma 9B?

Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Phi-3 Mini 4k over ShieldGemma 9B?

ShieldGemma 9B is safer overall; choose Phi-3 Mini 4k when provider fit matters. If your workload also depends on provider fit, start with Phi-3 Mini 4k; if it depends on long-context analysis, run the same evaluation with ShieldGemma 9B.

Continue comparing

Last reviewed: 2026-04-18. Data sourced from public model cards and provider documentation.