Llama Guard 3 1B vs Llama 3 70B Instruct
Llama Guard 3 1B (2024) and Llama 3 70B Instruct (2024) are compact production models from AI at Meta. Llama Guard 3 1B ships a 128k-token context window, while Llama 3 70B Instruct ships a 8k-token context window. On pricing, Llama Guard 3 1B costs $0.10/1M input tokens versus $0.40/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama Guard 3 1B is ~300% cheaper at $0.10/1M; pay for Llama 3 70B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama Guard 3 1B | Llama 3 70B Instruct |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | Long context and Classification | Coding, Classification, and JSON / Tool use |
| Context window | 128k | 8k |
| Cheapest output | $0.10/1M tokens | $0.40/1M tokens |
| Provider routes | 1 tracked | 18 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama Guard 3 1B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama Guard 3 1B has the lower cheapest tracked output price at $0.10/1M tokens.
- Local decision data tags Llama Guard 3 1B for Long context and Classification.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3 70B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama Guard 3 1B
$105
Cheapest tracked route/tier: Fireworks AI
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $315. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 3 70B Instruct adds Structured outputs in local capability data.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama Guard 3 1B is $0.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-25 | 2024-04-18 |
| Context window | 128k | 8k |
| Parameters | 1B | 70B |
| Architecture | decoder only | decoder only |
| License | Llama 2 Community | Llama 3 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2023-12 | 2023-12 |
Pricing and availability
| Pricing attribute | Llama Guard 3 1B | Llama 3 70B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.40/1M tokens |
| Output price | $0.10/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Llama Guard 3 1B | Llama 3 70B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Llama 3 70B Instruct. 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, Llama Guard 3 1B lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider, while Llama 3 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $0.30 per million blended tokens. Availability is 1 providers versus 18, so concentration risk also matters.
Choose Llama Guard 3 1B when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3 70B Instruct 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, Llama Guard 3 1B or Llama 3 70B Instruct?
Llama Guard 3 1B supports 128k tokens, while Llama 3 70B Instruct 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, Llama Guard 3 1B or Llama 3 70B Instruct?
Llama Guard 3 1B is cheaper on tracked token pricing. Llama Guard 3 1B costs $0.10/1M input and $0.10/1M output tokens. Llama 3 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama Guard 3 1B or Llama 3 70B Instruct open source?
Llama Guard 3 1B is listed under Llama 2 Community. Llama 3 70B Instruct is listed under Llama 3 Community. 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, Llama Guard 3 1B or Llama 3 70B Instruct?
Llama 3 70B Instruct 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 Llama Guard 3 1B and Llama 3 70B Instruct?
Llama Guard 3 1B is available on Fireworks AI. Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama Guard 3 1B over Llama 3 70B Instruct?
Llama Guard 3 1B is ~300% cheaper at $0.10/1M; pay for Llama 3 70B Instruct only for provider fit. If your workload also depends on long-context analysis, start with Llama Guard 3 1B; if it depends on provider fit, run the same evaluation with Llama 3 70B Instruct.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.