Prompt Guard 86M vs Trinity-Large-Thinking
Prompt Guard 86M (2024) and Trinity-Large-Thinking (2026) are frontier reasoning models from AI at Meta and Arcee AI. Prompt Guard 86M ships a 512-token context window, while Trinity-Large-Thinking ships a 256K-token context window. On pricing, Prompt Guard 86M costs $0.05/1M input tokens versus $0.22/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Prompt Guard 86M is ~340% cheaper at $0.05/1M; pay for Trinity-Large-Thinking only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Prompt Guard 86M | Trinity-Large-Thinking |
|---|---|---|
| Decision fit | General | RAG, Agents, and Long context |
| Context window | 512 | 256K |
| Cheapest output | $0.05/1M tokens | $0.85/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Prompt Guard 86M has the lower cheapest tracked output price at $0.05/1M tokens.
- Trinity-Large-Thinking has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Trinity-Large-Thinking has broader tracked provider coverage for fallback and procurement flexibility.
- Trinity-Large-Thinking uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Trinity-Large-Thinking for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Prompt Guard 86M
$52.50
Cheapest tracked route: Microsoft Foundry
Trinity-Large-Thinking
$389
Cheapest tracked route: OpenRouter
Estimated monthly gap: $336. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Prompt Guard 86M and Trinity-Large-Thinking; plan for SDK, billing, or endpoint changes.
- Trinity-Large-Thinking is $0.8/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Trinity-Large-Thinking adds Reasoning, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Trinity-Large-Thinking and Prompt Guard 86M; plan for SDK, billing, or endpoint changes.
- Prompt Guard 86M is $0.8/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2026-04-01 |
| Context window | 512 | 256K |
| Parameters | 279M | 400B |
| Architecture | decoder only | Sparse Mixture of Experts (MoE) |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Prompt Guard 86M | Trinity-Large-Thinking |
|---|---|---|
| Input price | $0.05/1M tokens | $0.22/1M tokens |
| Output price | $0.05/1M tokens | $0.85/1M tokens |
| Providers |
Capabilities
| Capability | Prompt Guard 86M | Trinity-Large-Thinking |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| 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: Trinity-Large-Thinking, function calling: Trinity-Large-Thinking, tool use: Trinity-Large-Thinking, and structured outputs: Trinity-Large-Thinking. 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, Prompt Guard 86M lists $0.05/1M input and $0.05/1M output tokens, while Trinity-Large-Thinking lists $0.22/1M input and $0.85/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Prompt Guard 86M lower by about $0.36 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose Prompt Guard 86M when provider fit and lower input-token cost are central to the workload. Choose Trinity-Large-Thinking when reasoning depth, larger context windows, and broader provider choice 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, Prompt Guard 86M or Trinity-Large-Thinking?
Trinity-Large-Thinking supports 256K tokens, while Prompt Guard 86M supports 512 tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Prompt Guard 86M or Trinity-Large-Thinking?
Prompt Guard 86M is cheaper on tracked token pricing. Prompt Guard 86M costs $0.05/1M input and $0.05/1M output tokens. Trinity-Large-Thinking costs $0.22/1M input and $0.85/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Prompt Guard 86M or Trinity-Large-Thinking open source?
Prompt Guard 86M is listed under Unknown. Trinity-Large-Thinking 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 reasoning mode, Prompt Guard 86M or Trinity-Large-Thinking?
Trinity-Large-Thinking 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 function calling, Prompt Guard 86M or Trinity-Large-Thinking?
Trinity-Large-Thinking has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Prompt Guard 86M and Trinity-Large-Thinking?
Prompt Guard 86M is available on Microsoft Foundry. Trinity-Large-Thinking is available on Arcee AI and OpenRouter. 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.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.