LLM Reference

Gemma 3 vs Llama Guard 2 8B

Gemma 3 (2025) and Llama Guard 2 8B (2024) are compact production models from Google DeepMind and AI at Meta. Gemma 3 ships a not-yet-sourced context window, while Llama Guard 2 8B ships a 8K-token context window. On pricing, Gemma 3 costs $0.04/1M input tokens versus $0.05/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemma 3 is safer overall; choose Llama Guard 2 8B when provider fit matters.

Decision scorecard

Local evidence first
SignalGemma 3Llama Guard 2 8B
Decision fitClassification and JSON / Tool useClassification
Context window8K
Cheapest output$0.08/1M tokens$0.25/1M tokens
Provider routes3 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 when...
  • Gemma 3 has the lower cheapest tracked output price at $0.08/1M tokens.
  • Gemma 3 uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemma 3 for Classification and JSON / Tool use.
Choose Llama Guard 2 8B when...
  • Llama Guard 2 8B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags Llama Guard 2 8B for Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Gemma 3

Gemma 3

$52.00

Cheapest tracked route: OpenRouter

Llama Guard 2 8B

$103

Cheapest tracked route: Replicate API

Estimated monthly gap: $50.50. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 -> Llama Guard 2 8B
  • No overlapping tracked provider route is sourced for Gemma 3 and Llama Guard 2 8B; plan for SDK, billing, or endpoint changes.
  • Llama Guard 2 8B is $0.17/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.
Llama Guard 2 8B -> Gemma 3
  • No overlapping tracked provider route is sourced for Llama Guard 2 8B and Gemma 3; plan for SDK, billing, or endpoint changes.
  • Gemma 3 is $0.17/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Gemma 3 adds Structured outputs in local capability data.

Specs

Specification
Released2025-03-122024-04-18
Context window8K
Parameters8B
Architecturedecoder onlydecoder only
LicenseOpen SourceOpen Source
Knowledge cutoff2025-012023-03

Pricing and availability

Pricing attributeGemma 3Llama Guard 2 8B
Input price$0.04/1M tokens$0.05/1M tokens
Output price$0.08/1M tokens$0.25/1M tokens
Providers

Capabilities

CapabilityGemma 3Llama Guard 2 8B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Gemma 3. 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, Gemma 3 lists $0.04/1M input and $0.08/1M output tokens, while Llama Guard 2 8B lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 lower by about $0.06 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.

Choose Gemma 3 when provider fit and lower input-token cost are central to the workload. Choose Llama Guard 2 8B when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which is cheaper, Gemma 3 or Llama Guard 2 8B?

Gemma 3 is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M output tokens. Llama Guard 2 8B costs $0.05/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 or Llama Guard 2 8B open source?

Gemma 3 is listed under Open Source. Llama Guard 2 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 or Llama Guard 2 8B?

Gemma 3 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 Gemma 3 and Llama Guard 2 8B?

Gemma 3 is available on OpenRouter, Google AI Studio, and GCP Vertex AI. Llama Guard 2 8B is available on Fireworks AI, OctoAI API (Deprecated), and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 3 over Llama Guard 2 8B?

Gemma 3 is safer overall; choose Llama Guard 2 8B when provider fit matters. If your workload also depends on provider fit, start with Gemma 3; if it depends on provider fit, run the same evaluation with Llama Guard 2 8B.

Continue comparing

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