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Llama Guard 3 8B vs Phi-4 Reasoning Vision 15B

Llama Guard 3 8B (2024) and Phi-4 Reasoning Vision 15B (2026) are compact production models from AI at Meta and Microsoft Research. Llama Guard 3 8B ships a 8K-token context window, while Phi-4 Reasoning Vision 15B ships a not-yet-sourced 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.

Phi-4 Reasoning Vision 15B is safer overall; choose Llama Guard 3 8B when provider fit matters.

Specs

Released2024-07-232026-03-12
Context window8K
Parameters8B15B
Architecturedecoder only-
LicenseOpen SourceMicrosoft Research
Knowledge cutoff--

Pricing and availability

Llama Guard 3 8BPhi-4 Reasoning Vision 15B
Input price$0.2/1M tokens-
Output price$0.2/1M tokens-
Providers-

Capabilities

Llama Guard 3 8BPhi-4 Reasoning Vision 15B
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 multimodal input: Phi-4 Reasoning Vision 15B and structured outputs: Llama Guard 3 8B. 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: Llama Guard 3 8B has $0.2/1M input tokens and Phi-4 Reasoning Vision 15B has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Llama Guard 3 8B when provider fit and broader provider choice are central to the workload. Choose Phi-4 Reasoning Vision 15B 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.

FAQ

Is Llama Guard 3 8B or Phi-4 Reasoning Vision 15B open source?

Llama Guard 3 8B is listed under Open Source. Phi-4 Reasoning Vision 15B is listed under Microsoft Research. 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 multimodal input, Llama Guard 3 8B or Phi-4 Reasoning Vision 15B?

Phi-4 Reasoning Vision 15B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, Llama Guard 3 8B or Phi-4 Reasoning Vision 15B?

Llama Guard 3 8B 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 Llama Guard 3 8B and Phi-4 Reasoning Vision 15B?

Llama Guard 3 8B is available on Microsoft Foundry, OpenRouter, Fireworks AI, and Replicate API. Phi-4 Reasoning Vision 15B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Llama Guard 3 8B over Phi-4 Reasoning Vision 15B?

Phi-4 Reasoning Vision 15B is safer overall; choose Llama Guard 3 8B when provider fit matters. If your workload also depends on provider fit, start with Llama Guard 3 8B; if it depends on provider fit, run the same evaluation with Phi-4 Reasoning Vision 15B.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.