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Gemma 3 12B (free) vs Llama Guard 3 8B

Gemma 3 12B (free) (2026) and Llama Guard 3 8B (2024) are compact production models from Google DeepMind and AI at Meta. Gemma 3 12B (free) ships a 33K-token context window, while Llama Guard 3 8B ships a 8K-token context window. On pricing, Gemma 3 12B (free) costs $0.04/1M input tokens versus $0.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemma 3 12B (free) is ~400% cheaper at $0.04/1M; pay for Llama Guard 3 8B only for provider fit.

Specs

Specification
Released2026-01-012024-07-23
Context window33K8K
Parameters8B
Architecturedecoder onlydecoder only
LicenseOpen SourceOpen Source
Knowledge cutoff--

Pricing and availability

Pricing attributeGemma 3 12B (free)Llama Guard 3 8B
Input price$0.04/1M tokens$0.2/1M tokens
Output price$0.13/1M tokens$0.2/1M tokens
Providers

Capabilities

CapabilityGemma 3 12B (free)Llama Guard 3 8B
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, Gemma 3 12B (free) lists $0.04/1M input and $0.13/1M output tokens, while Llama Guard 3 8B lists $0.2/1M input and $0.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B (free) lower by about $0.13 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.

Choose Gemma 3 12B (free) when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Llama Guard 3 8B when provider fit 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, Gemma 3 12B (free) or Llama Guard 3 8B?

Gemma 3 12B (free) supports 33K tokens, while Llama Guard 3 8B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemma 3 12B (free) or Llama Guard 3 8B?

Gemma 3 12B (free) is cheaper on tracked token pricing. Gemma 3 12B (free) costs $0.04/1M input and $0.13/1M output tokens. Llama Guard 3 8B costs $0.2/1M input and $0.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 12B (free) or Llama Guard 3 8B open source?

Gemma 3 12B (free) is listed under Open Source. Llama Guard 3 8B 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, Gemma 3 12B (free) or Llama Guard 3 8B?

Both Gemma 3 12B (free) and Llama Guard 3 8B 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 Gemma 3 12B (free) and Llama Guard 3 8B?

Gemma 3 12B (free) is available on AWS Bedrock, OpenRouter, and GCP Vertex AI. Llama Guard 3 8B is available on Microsoft Foundry, OpenRouter, Fireworks AI, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 3 12B (free) over Llama Guard 3 8B?

Gemma 3 12B (free) is ~400% cheaper at $0.04/1M; pay for Llama Guard 3 8B only for provider fit. If your workload also depends on long-context analysis, start with Gemma 3 12B (free); if it depends on provider fit, run the same evaluation with Llama Guard 3 8B.

Continue comparing

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