Gemma 3n 2B (free) vs Llama Guard 2 8B
Gemma 3n 2B (free) (2025) and Llama Guard 2 8B (2024) are compact production models from Google DeepMind and AI at Meta. Gemma 3n 2B (free) ships a 8K-token context window, while Llama Guard 2 8B ships a 8K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Gemma 3n 2B (free) is safer overall; choose Llama Guard 2 8B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Gemma 3n 2B (free) | Llama Guard 2 8B |
|---|---|---|
| Decision fit | General | Classification |
| Context window | 8K | 8K |
| Cheapest output | - | $0.25/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Gemma 3n 2B (free) when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Llama Guard 2 8B has broader tracked provider coverage for fallback and procurement flexibility.
- 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.
Gemma 3n 2B (free)
Unavailable
No complete token price in local provider data
Llama Guard 2 8B
$103
Cheapest tracked route: Replicate API
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 3n 2B (free) and Llama Guard 2 8B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Llama Guard 2 8B and Gemma 3n 2B (free); plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-03 | 2024-04-18 |
| Context window | 8K | 8K |
| Parameters | — | 8B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | 2024-06 | 2023-03 |
Pricing and availability
| Pricing attribute | Gemma 3n 2B (free) | Llama Guard 2 8B |
|---|---|---|
| Input price | - | $0.05/1M tokens |
| Output price | - | $0.25/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3n 2B (free) | Llama Guard 2 8B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. 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.
Pricing coverage is uneven: Gemma 3n 2B (free) has no token price sourced yet and Llama Guard 2 8B has $0.05/1M input tokens. Provider availability is 1 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemma 3n 2B (free) when provider fit are central to the workload. Choose Llama Guard 2 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Gemma 3n 2B (free) or Llama Guard 2 8B?
Gemma 3n 2B (free) supports 8K tokens, while Llama Guard 2 8B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 3n 2B (free) or Llama Guard 2 8B open source?
Gemma 3n 2B (free) 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.
Where can I run Gemma 3n 2B (free) and Llama Guard 2 8B?
Gemma 3n 2B (free) is available on NVIDIA NIM. 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 3n 2B (free) over Llama Guard 2 8B?
Gemma 3n 2B (free) is safer overall; choose Llama Guard 2 8B when provider fit matters. If your workload also depends on provider fit, start with Gemma 3n 2B (free); if it depends on provider fit, run the same evaluation with Llama Guard 2 8B.
Continue comparing
Last reviewed: 2026-05-02. Data sourced from public model cards and provider documentation.