Llama Guard 3 1B vs Marin 8B Instruct
Llama Guard 3 1B (2024) and Marin 8B Instruct (2025) are compact production models from AI at Meta and Marin. Llama Guard 3 1B ships a 128k-token context window, while Marin 8B Instruct ships a 128k-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 8B Instruct is safer overall; choose Llama Guard 3 1B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama Guard 3 1B | Marin 8B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Long context and Classification | Long context |
| Context window | 128k | 128k |
| Cheapest output | $0.10/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Llama Guard 3 1B for Long context and Classification.
- Local decision data tags Marin 8B Instruct for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama Guard 3 1B
$105
Cheapest tracked route/tier: Fireworks AI
Marin 8B Instruct
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 1B and Marin 8B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Marin 8B Instruct and Llama Guard 3 1B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-25 | 2025-09-01 |
| Context window | 128k | 128k |
| Parameters | 1B | 8B |
| Architecture | decoder only | decoder only |
| License | Llama 2 Community | Open Weights |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | - |
| Knowledge cutoff | 2023-12 | 2024-07 |
Pricing and availability
| Pricing attribute | Llama Guard 3 1B | Marin 8B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | - |
| Output price | $0.10/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama Guard 3 1B | Marin 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
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: Llama Guard 3 1B has $0.10/1M input tokens and Marin 8B Instruct 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 Llama Guard 3 1B when provider fit are central to the workload. Choose Marin 8B Instruct 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 1B or Marin 8B Instruct?
Llama Guard 3 1B supports 128k tokens, while Marin 8B Instruct supports 128k 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 1B or Marin 8B Instruct open source?
Llama Guard 3 1B is listed under Llama 2 Community. Marin 8B Instruct is listed under Open Weights. 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 Llama Guard 3 1B and Marin 8B Instruct?
Llama Guard 3 1B is available on Fireworks AI. Marin 8B Instruct 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 Llama Guard 3 1B over Marin 8B Instruct?
Marin 8B Instruct is safer overall; choose Llama Guard 3 1B when provider fit matters. If your workload also depends on provider fit, start with Llama Guard 3 1B; if it depends on provider fit, run the same evaluation with Marin 8B Instruct.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.