Llama Guard 4 12B vs Mistral Small 3.1 24B Instruct
Llama Guard 4 12B (2025) and Mistral Small 3.1 24B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama Guard 4 12B ships a 164K-token context window, while Mistral Small 3.1 24B Instruct ships a 128K-token context window. On pricing, Mistral Small 3.1 24B Instruct costs $0.10/1M input tokens versus $0.18/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Small 3.1 24B Instruct is ~80% cheaper at $0.10/1M; pay for Llama Guard 4 12B only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama Guard 4 12B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | RAG, Long context, and Classification | RAG, Long context, and Vision |
| Context window | 164K | 128K |
| Cheapest output | $0.18/1M tokens | $0.30/1M tokens |
| Provider routes | 3 tracked | 5 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama Guard 4 12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama Guard 4 12B has the lower cheapest tracked output price at $0.18/1M tokens.
- Local decision data tags Llama Guard 4 12B for RAG, Long context, and Classification.
- Mistral Small 3.1 24B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 3.1 24B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama Guard 4 12B
$189
Cheapest tracked route/tier: OpenRouter
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $34.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and NVIDIA NIM; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct is $0.12/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Small 3.1 24B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on NVIDIA NIM and OpenRouter; start route-level A/B tests there.
- Llama Guard 4 12B is $0.12/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2025-12-15 |
| Context window | 164K | 128K |
| Parameters | 12B | 24B |
| Architecture | decoder only | dense |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2024-08 | 2023-10 |
Pricing and availability
| Pricing attribute | Llama Guard 4 12B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Input price | $0.18/1M tokens | $0.10/1M tokens |
| Output price | $0.18/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Llama Guard 4 12B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| 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 differs most on vision: Mistral Small 3.1 24B Instruct and multimodal input: Mistral Small 3.1 24B Instruct. Both models share structured outputs, 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, Llama Guard 4 12B lists $0.18/1M input and $0.18/1M output tokens on the cheapest tracked provider, while Mistral Small 3.1 24B Instruct lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 3.1 24B Instruct lower by about $0.02 per million blended tokens. Availability is 3 providers versus 5, so concentration risk also matters.
Choose Llama Guard 4 12B when long-context analysis and larger context windows are central to the workload. Choose Mistral Small 3.1 24B Instruct when vision-heavy evaluation, lower input-token cost, 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.
FAQ
Which has a larger context window, Llama Guard 4 12B or Mistral Small 3.1 24B Instruct?
Llama Guard 4 12B supports 164K tokens, while Mistral Small 3.1 24B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama Guard 4 12B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct is cheaper on tracked token pricing. Llama Guard 4 12B costs $0.18/1M input and $0.18/1M output tokens. Mistral Small 3.1 24B Instruct costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama Guard 4 12B or Mistral Small 3.1 24B Instruct open source?
Llama Guard 4 12B is listed under Proprietary. Mistral Small 3.1 24B Instruct 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 vision, Llama Guard 4 12B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Llama Guard 4 12B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input 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 4 12B and Mistral Small 3.1 24B Instruct?
Llama Guard 4 12B is available on NVIDIA NIM, Replicate API, and OpenRouter. Mistral Small 3.1 24B Instruct is available on OpenRouter, Fireworks AI, NVIDIA NIM, Together AI, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.