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Llama 4 Maverick 17B Instruct FP8 vs Llama Guard 3 1B

Llama 4 Maverick 17B Instruct FP8 (2025) and Llama Guard 3 1B (2024) are general-purpose language models from AI at Meta. Llama 4 Maverick 17B Instruct FP8 ships a 1M-token context window, while Llama Guard 3 1B ships a not-yet-sourced context window. On pricing, Llama Guard 3 1B costs $0.1/1M input tokens versus $0.15/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama Guard 3 1B is ~50% cheaper at $0.1/1M; pay for Llama 4 Maverick 17B Instruct FP8 only for provider fit.

Specs

Specification
Released2025-04-052024-09-25
Context window1M
Parameters17B1B
Architecturemixture of expertsdecoder only
LicenseOpen SourceOpen Source
Knowledge cutoff--

Pricing and availability

Pricing attributeLlama 4 Maverick 17B Instruct FP8Llama Guard 3 1B
Input price$0.15/1M tokens$0.1/1M tokens
Output price$0.6/1M tokens$0.1/1M tokens
Providers

Capabilities

CapabilityLlama 4 Maverick 17B Instruct FP8Llama Guard 3 1B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Llama 4 Maverick 17B Instruct FP8. 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.

For cost, Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.6/1M output tokens, while Llama Guard 3 1B lists $0.1/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $0.18 per million blended tokens. Availability is 7 providers versus 1, so concentration risk also matters.

Choose Llama 4 Maverick 17B Instruct FP8 when provider fit and broader provider choice are central to the workload. Choose Llama Guard 3 1B when provider fit and lower input-token cost 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

Which is cheaper, Llama 4 Maverick 17B Instruct FP8 or Llama Guard 3 1B?

Llama Guard 3 1B is cheaper on tracked token pricing. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.6/1M output tokens. Llama Guard 3 1B costs $0.1/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Llama 4 Maverick 17B Instruct FP8 or Llama Guard 3 1B open source?

Llama 4 Maverick 17B Instruct FP8 is listed under Open Source. Llama Guard 3 1B is listed under Open Source. 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, Llama 4 Maverick 17B Instruct FP8 or Llama Guard 3 1B?

Llama 4 Maverick 17B Instruct FP8 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 4 Maverick 17B Instruct FP8 and Llama Guard 3 1B?

Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Llama 4 Maverick 17B Instruct FP8 over Llama Guard 3 1B?

Llama Guard 3 1B is ~50% cheaper at $0.1/1M; pay for Llama 4 Maverick 17B Instruct FP8 only for provider fit. If your workload also depends on provider fit, start with Llama 4 Maverick 17B Instruct FP8; if it depends on provider fit, run the same evaluation with Llama Guard 3 1B.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.