Gemini 1.5 Flash 8B vs Llama Guard 3 1B
Gemini 1.5 Flash 8B (2024) and Llama Guard 3 1B (2024) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 1.5 Flash 8B ships a not-yet-sourced context window, while Llama Guard 3 1B ships a not-yet-sourced context window. On pricing, Gemini 1.5 Flash 8B costs $0.04/1M input tokens versus $0.1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemini 1.5 Flash 8B is ~167% cheaper at $0.04/1M; pay for Llama Guard 3 1B only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-03 | 2024-09-25 |
| Context window | — | — |
| Parameters | 8B | 1B |
| Architecture | decoder only | decoder only |
| License | Unknown | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemini 1.5 Flash 8B | Llama Guard 3 1B |
|---|---|---|
| Input price | $0.04/1M tokens | $0.1/1M tokens |
| Output price | $0.15/1M tokens | $0.1/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 1.5 Flash 8B | Llama Guard 3 1B |
|---|---|---|
| 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.
For cost, Gemini 1.5 Flash 8B lists $0.04/1M input and $0.15/1M output tokens, while Llama Guard 3 1B lists $0.1/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 1.5 Flash 8B lower by about $0.03 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Gemini 1.5 Flash 8B when provider fit and lower input-token cost are central to the workload. Choose Llama Guard 3 1B 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.
FAQ
Which is cheaper, Gemini 1.5 Flash 8B or Llama Guard 3 1B?
Gemini 1.5 Flash 8B is cheaper on tracked token pricing. Gemini 1.5 Flash 8B costs $0.04/1M input and $0.15/1M output tokens. Llama Guard 3 1B costs $0.1/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 1.5 Flash 8B or Llama Guard 3 1B open source?
Gemini 1.5 Flash 8B is listed under Unknown. Llama Guard 3 1B 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 Gemini 1.5 Flash 8B and Llama Guard 3 1B?
Gemini 1.5 Flash 8B is available on GCP Vertex AI. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemini 1.5 Flash 8B over Llama Guard 3 1B?
Gemini 1.5 Flash 8B is ~167% cheaper at $0.04/1M; pay for Llama Guard 3 1B only for provider fit. If your workload also depends on provider fit, start with Gemini 1.5 Flash 8B; if it depends on provider fit, run the same evaluation with Llama Guard 3 1B.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.