Llama Prompt Guard 2 22M vs Magistral Small 2506
Llama Prompt Guard 2 22M (2025) and Magistral Small 2506 (2025) are frontier reasoning models from AI at Meta and MistralAI. Llama Prompt Guard 2 22M ships a 512-token context window, while Magistral Small 2506 ships a 128K-token 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.
Magistral Small 2506 fits 250x more tokens; pick it for long-context work and Llama Prompt Guard 2 22M for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama Prompt Guard 2 22M | Magistral Small 2506 |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | Long context |
| Context window | 512 | 128K |
| Cheapest output | $0.03/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama Prompt Guard 2 22M uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama Prompt Guard 2 22M for Classification and JSON / Tool use.
- Magistral Small 2506 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Magistral Small 2506 uniquely exposes Reasoning in local model data.
- Local decision data tags Magistral Small 2506 for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama Prompt Guard 2 22M
$31.50
Cheapest tracked route: GroqCloud
Magistral Small 2506
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 Prompt Guard 2 22M and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Magistral Small 2506 adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Magistral Small 2506 and Llama Prompt Guard 2 22M; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Llama Prompt Guard 2 22M adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-29 | 2025-06-10 |
| Context window | 512 | 128K |
| Parameters | 22M | — |
| Architecture | decoder only | decoder only |
| License | Llama 3.1 Community | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama Prompt Guard 2 22M | Magistral Small 2506 |
|---|---|---|
| Input price | $0.03/1M tokens | - |
| Output price | $0.03/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama Prompt Guard 2 22M | Magistral Small 2506 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Magistral Small 2506 and structured outputs: Llama Prompt Guard 2 22M. 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 Prompt Guard 2 22M has $0.03/1M input tokens and Magistral Small 2506 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 Prompt Guard 2 22M when provider fit are central to the workload. Choose Magistral Small 2506 when reasoning depth and larger context windows 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 has a larger context window, Llama Prompt Guard 2 22M or Magistral Small 2506?
Magistral Small 2506 supports 128K tokens, while Llama Prompt Guard 2 22M supports 512 tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama Prompt Guard 2 22M or Magistral Small 2506 open source?
Llama Prompt Guard 2 22M is listed under Llama 3.1 Community. Magistral Small 2506 is listed under 1. 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 reasoning mode, Llama Prompt Guard 2 22M or Magistral Small 2506?
Magistral Small 2506 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 Prompt Guard 2 22M or Magistral Small 2506?
Llama Prompt Guard 2 22M 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 Prompt Guard 2 22M and Magistral Small 2506?
Llama Prompt Guard 2 22M is available on GroqCloud. Magistral Small 2506 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 Prompt Guard 2 22M over Magistral Small 2506?
Magistral Small 2506 fits 250x more tokens; pick it for long-context work and Llama Prompt Guard 2 22M for tighter calls. If your workload also depends on provider fit, start with Llama Prompt Guard 2 22M; if it depends on reasoning depth, run the same evaluation with Magistral Small 2506.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.