Llama Guard 3 1B vs Mistral Magistral Small 2509
Llama Guard 3 1B (2024) and Mistral Magistral Small 2509 (2025) are general-purpose language models from AI at Meta and MistralAI. Llama Guard 3 1B ships a not-yet-sourced context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, Llama Guard 3 1B costs $0.1/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama Guard 3 1B is ~400% cheaper at $0.1/1M; pay for Mistral Magistral Small 2509 only for provider fit.
Specs
| Released | 2024-09-25 | 2025-09-01 |
| Context window | — | — |
| Parameters | 1B | — |
| Architecture | decoder only | - |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Llama Guard 3 1B | Mistral Magistral Small 2509 | |
|---|---|---|
| Input price | $0.1/1M tokens | $0.5/1M tokens |
| Output price | $0.1/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Llama Guard 3 1B | Mistral Magistral Small 2509 | |
|---|---|---|
| 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.
For cost, Llama Guard 3 1B lists $0.1/1M input and $0.1/1M output tokens, while Mistral Magistral Small 2509 lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $0.7 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Llama Guard 3 1B when provider fit and lower input-token cost are central to the workload. Choose Mistral Magistral Small 2509 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
Which is cheaper, Llama Guard 3 1B or Mistral Magistral Small 2509?
Llama Guard 3 1B is cheaper on tracked token pricing. Llama Guard 3 1B costs $0.1/1M input and $0.1/1M output tokens. Mistral Magistral Small 2509 costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama Guard 3 1B or Mistral Magistral Small 2509 open source?
Llama Guard 3 1B is listed under Open Source. Mistral Magistral Small 2509 is listed under Proprietary. 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 Mistral Magistral Small 2509?
Llama Guard 3 1B is available on Fireworks AI. Mistral Magistral Small 2509 is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama Guard 3 1B over Mistral Magistral Small 2509?
Llama Guard 3 1B is ~400% cheaper at $0.1/1M; pay for Mistral Magistral Small 2509 only for provider fit. 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 Mistral Magistral Small 2509.
Continue comparing
Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.