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Aquila 2 7B vs Llama Guard 2 8B

Aquila 2 7B (2023) and Llama Guard 2 8B (2024) are compact production models from Beijing Academy of Artificial Intelligence (BAAI) and AI at Meta. Aquila 2 7B ships a not-yet-sourced 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.

Llama Guard 2 8B is safer overall; choose Aquila 2 7B when provider fit matters.

Decision scorecard

Local evidence first
SignalAquila 2 7BLlama Guard 2 8B
Decision fitGeneralGeneral
Context window8K
Cheapest output-$0.25/1M tokens
Provider routes0 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Aquila 2 7B when...
  • Use Aquila 2 7B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
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 broader tracked provider coverage for fallback and procurement flexibility.

Monthly cost at traffic

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

Aquila 2 7B

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

Aquila 2 7B -> Llama Guard 2 8B
  • No overlapping tracked provider route is sourced for Aquila 2 7B and Llama Guard 2 8B; plan for SDK, billing, or endpoint changes.
Llama Guard 2 8B -> Aquila 2 7B
  • No overlapping tracked provider route is sourced for Llama Guard 2 8B and Aquila 2 7B; plan for SDK, billing, or endpoint changes.

Specs

Specification
Released2023-11-022024-04-18
Context window8K
Parameters7B8B
Architecturedecoder onlydecoder only
LicenseUnknownOpen Source
Knowledge cutoff--

Pricing and availability

Pricing attributeAquila 2 7BLlama Guard 2 8B
Input price-$0.05/1M tokens
Output price-$0.25/1M tokens
Providers-

Capabilities

CapabilityAquila 2 7BLlama Guard 2 8B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo

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: Aquila 2 7B has no token price sourced yet and Llama Guard 2 8B has $0.05/1M input tokens. Provider availability is 0 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Aquila 2 7B 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

Is Aquila 2 7B or Llama Guard 2 8B open source?

Aquila 2 7B is listed under Unknown. 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 Aquila 2 7B and Llama Guard 2 8B?

Aquila 2 7B is available on the tracked providers still being sourced. 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 Aquila 2 7B over Llama Guard 2 8B?

Llama Guard 2 8B is safer overall; choose Aquila 2 7B when provider fit matters. If your workload also depends on provider fit, start with Aquila 2 7B; if it depends on provider fit, run the same evaluation with Llama Guard 2 8B.

What is the main difference between Aquila 2 7B and Llama Guard 2 8B?

Aquila 2 7B and Llama Guard 2 8B differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.

Continue comparing

Last reviewed: 2026-05-02. Data sourced from public model cards and provider documentation.