Llama Guard 3 8B vs Marin 32B Base
Llama Guard 3 8B (2024) and Marin 32B Base (2025) are compact production models from AI at Meta and Marin. Llama Guard 3 8B ships a 8k-token context window, while Marin 32B Base ships a 4k-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.
Marin 32B Base is safer overall; choose Llama Guard 3 8B when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Llama Guard 3 8B | Marin 32B Base |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Classification and JSON / Tool use | General |
| Context window | 8k | 4k |
| Cheapest output | $0.20/1M tokens | - |
| Provider routes | 5 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama Guard 3 8B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama Guard 3 8B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama Guard 3 8B uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama Guard 3 8B for Classification and JSON / Tool use.
- Use Marin 32B Base when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama Guard 3 8B
$210
Cheapest tracked route/tier: Fireworks AI
Marin 32B Base
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama Guard 3 8B and Marin 32B Base; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Marin 32B Base and Llama Guard 3 8B; plan for SDK, billing, or endpoint changes.
- Llama Guard 3 8B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-10-25 |
| Context window | 8k | 4k |
| Parameters | 8B | 32.5B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | 2024-07 |
Pricing and availability
| Pricing attribute | Llama Guard 3 8B | Marin 32B Base |
|---|---|---|
| Input price | $0.20/1M tokens | - |
| Output price | $0.20/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama Guard 3 8B | Marin 32B Base |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on 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 $0.20/1M input tokens and Marin 32B Base has no token price sourced yet. Provider availability is 5 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 long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Marin 32B Base 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, Llama Guard 3 8B or Marin 32B Base?
Llama Guard 3 8B supports 8k tokens, while Marin 32B Base supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama Guard 3 8B or Marin 32B Base open source?
Llama Guard 3 8B is listed under Llama 2 Community. Marin 32B Base is listed under Apache 2.0. 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 Guard 3 8B or Marin 32B Base?
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 Marin 32B Base?
Llama Guard 3 8B is available on Cloudflare Workers AI, Microsoft Foundry, OpenRouter, Fireworks AI, and Replicate API. Marin 32B Base 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 Marin 32B Base?
Marin 32B Base is safer overall; choose Llama Guard 3 8B when long-context analysis matters. If your workload also depends on long-context analysis, start with Llama Guard 3 8B; if it depends on provider fit, run the same evaluation with Marin 32B Base.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.