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Command R+ vs Llama Guard 4 12B

Command R+ (2024) and Llama Guard 4 12B (2025) are compact production models from Cohere and AI at Meta. Command R+ ships a 128K-token context window, while Llama Guard 4 12B ships a 164K-token context window. On pricing, Llama Guard 4 12B costs $0.18/1M input tokens versus $2.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama Guard 4 12B is ~1289% cheaper at $0.18/1M; pay for Command R+ only for provider fit.

Specs

Specification
Released2024-04-042025-04-05
Context window128K164K
Parameters104B*
Architecturedecoder onlydecoder only
LicenseUnknownOpen Source
Knowledge cutoff--

Pricing and availability

Pricing attributeCommand R+Llama Guard 4 12B
Input price$2.5/1M tokens$0.18/1M tokens
Output price$10/1M tokens$0.18/1M tokens
Providers

Capabilities

CapabilityCommand R+Llama Guard 4 12B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint is close: both models cover structured outputs. 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, Command R+ lists $2.5/1M input and $10/1M output tokens, while Llama Guard 4 12B lists $0.18/1M input and $0.18/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 4 12B lower by about $4.57 per million blended tokens. Availability is 6 providers versus 3, so concentration risk also matters.

Choose Command R+ when provider fit and broader provider choice are central to the workload. Choose Llama Guard 4 12B when long-context analysis, larger context windows, and lower input-token cost 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, Command R+ or Llama Guard 4 12B?

Llama Guard 4 12B supports 164K tokens, while Command R+ 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, Command R+ or Llama Guard 4 12B?

Llama Guard 4 12B is cheaper on tracked token pricing. Command R+ costs $2.5/1M input and $10/1M output tokens. Llama Guard 4 12B costs $0.18/1M input and $0.18/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Command R+ or Llama Guard 4 12B open source?

Command R+ is listed under Unknown. Llama Guard 4 12B is listed under Open Source. 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 structured outputs, Command R+ or Llama Guard 4 12B?

Both Command R+ and Llama Guard 4 12B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Command R+ and Llama Guard 4 12B?

Command R+ is available on Cohere API, AWS Bedrock, Microsoft Foundry, OCI Generative AI, and OpenRouter. Llama Guard 4 12B is available on NVIDIA NIM, Replicate API, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Command R+ over Llama Guard 4 12B?

Llama Guard 4 12B is ~1289% cheaper at $0.18/1M; pay for Command R+ only for provider fit. If your workload also depends on provider fit, start with Command R+; if it depends on long-context analysis, run the same evaluation with Llama Guard 4 12B.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.