LLM Reference

Llama Guard 2 8B vs Nemotron 4 340B

Llama Guard 2 8B (2024) and Nemotron 4 340B (2025) are compact production models from AI at Meta and NVIDIA AI. Llama Guard 2 8B ships a 8k-token context window, while Nemotron 4 340B ships a 4k-token context window. On pricing, Llama Guard 2 8B costs $0.05/1M input tokens versus $4.20/1M 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 2 8B is ~8300% cheaper at $0.05/1M; pay for Nemotron 4 340B only for provider fit.

Decision scorecard

Local evidence first
SignalLlama Guard 2 8BNemotron 4 340B
Best forprovider-routed productionprovider-routed production
Decision fitClassificationClassification and JSON / Tool use
Context window8k4k
Cheapest output$0.25/1M tokens$4.20/1M tokens
Provider routes3 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Llama Guard 2 8B when...
  • Llama Guard 2 8B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Llama Guard 2 8B has the lower cheapest tracked output price at $0.25/1M tokens.
  • Llama Guard 2 8B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Llama Guard 2 8B for Classification.
Choose Nemotron 4 340B when...
  • Nemotron 4 340B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Nemotron 4 340B for 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.

Lower estimate Llama Guard 2 8B

Llama Guard 2 8B

$103

Cheapest tracked route/tier: Replicate API

Nemotron 4 340B

$4,410

Cheapest tracked route/tier: DeepInfra

Estimated monthly gap: $4,308. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Llama Guard 2 8B -> Nemotron 4 340B
  • No overlapping tracked provider route is sourced for Llama Guard 2 8B and Nemotron 4 340B; plan for SDK, billing, or endpoint changes.
  • Nemotron 4 340B is $3.95/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Nemotron 4 340B adds Structured outputs in local capability data.
Nemotron 4 340B -> Llama Guard 2 8B
  • No overlapping tracked provider route is sourced for Nemotron 4 340B and Llama Guard 2 8B; plan for SDK, billing, or endpoint changes.
  • Llama Guard 2 8B is $3.95/1M 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
Released2024-04-182025-02-27
Context window8k4k
Parameters8B340B
Architecturedecoder onlydecoder only
LicenseLlama 2 CommunityNVIDIA Open Model
OpennessOpen weightsOpen weights
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2023-03-

Pricing and availability

Pricing attributeLlama Guard 2 8BNemotron 4 340B
Input price$0.05/1M tokens$4.20/1M tokens
Output price$0.25/1M tokens$4.20/1M tokens
Providers

Capabilities

CapabilityLlama Guard 2 8BNemotron 4 340B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Nemotron 4 340B. 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 2 8B lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider, while Nemotron 4 340B lists $4.20/1M input and $4.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 2 8B lower by about $4.09 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.

Choose Llama Guard 2 8B when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Nemotron 4 340B 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 has a larger context window, Llama Guard 2 8B or Nemotron 4 340B?

Llama Guard 2 8B supports 8k tokens, while Nemotron 4 340B supports 4k 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 2 8B or Nemotron 4 340B?

Llama Guard 2 8B is cheaper on tracked token pricing. Llama Guard 2 8B costs $0.05/1M input and $0.25/1M output tokens. Nemotron 4 340B costs $4.20/1M input and $4.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Llama Guard 2 8B or Nemotron 4 340B open source?

Llama Guard 2 8B is listed under Llama 2 Community. Nemotron 4 340B is listed under NVIDIA Open Model. 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 2 8B or Nemotron 4 340B?

Nemotron 4 340B 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 2 8B and Nemotron 4 340B?

Llama Guard 2 8B is available on Fireworks AI, OctoAI API (Deprecated), and Replicate API. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Llama Guard 2 8B over Nemotron 4 340B?

Llama Guard 2 8B is ~8300% cheaper at $0.05/1M; pay for Nemotron 4 340B only for provider fit. If your workload also depends on long-context analysis, start with Llama Guard 2 8B; if it depends on provider fit, run the same evaluation with Nemotron 4 340B.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.