Llama 3.2 90B Instruct vs ShieldGemma 9B
Llama 3.2 90B Instruct (2025) and ShieldGemma 9B (2024) are compact production models from AI at Meta and Google DeepMind. Llama 3.2 90B Instruct ships a not-yet-sourced context window, while ShieldGemma 9B 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 3.2 90B Instruct is safer overall; choose ShieldGemma 9B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.2 90B Instruct | ShieldGemma 9B |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | Classification |
| Context window | — | 8K |
| Cheapest output | $1.8/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.2 90B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3.2 90B Instruct for Classification and JSON / Tool use.
- ShieldGemma 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags ShieldGemma 9B for Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.2 90B Instruct
$1,530
Cheapest tracked route: AWS Bedrock
ShieldGemma 9B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.2 90B Instruct and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for ShieldGemma 9B and Llama 3.2 90B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.2 90B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2024-07-01 |
| Context window | — | 8K |
| Parameters | — | 9B |
| Architecture | - | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.2 90B Instruct | ShieldGemma 9B |
|---|---|---|
| Input price | $1.35/1M tokens | - |
| Output price | $1.8/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama 3.2 90B Instruct | ShieldGemma 9B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Llama 3.2 90B 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.
Pricing coverage is uneven: Llama 3.2 90B Instruct has $1.35/1M input tokens and ShieldGemma 9B has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.2 90B Instruct when provider fit are central to the workload. Choose ShieldGemma 9B 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Llama 3.2 90B Instruct or ShieldGemma 9B open source?
Llama 3.2 90B Instruct is listed under Proprietary. ShieldGemma 9B is listed under 1. 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 3.2 90B Instruct or ShieldGemma 9B?
Llama 3.2 90B 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 3.2 90B Instruct and ShieldGemma 9B?
Llama 3.2 90B Instruct is available on AWS Bedrock. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Llama 3.2 90B Instruct over ShieldGemma 9B?
Llama 3.2 90B Instruct is safer overall; choose ShieldGemma 9B when provider fit matters. If your workload also depends on provider fit, start with Llama 3.2 90B Instruct; if it depends on provider fit, run the same evaluation with ShieldGemma 9B.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.