Llama 3.3 70B vs ShieldGemma 9B
Llama 3.3 70B (2025) and ShieldGemma 9B (2024) are compact production models from AI at Meta and Google DeepMind. Llama 3.3 70B ships a 8k-token context window, while ShieldGemma 9B ships a 8k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Llama 3.3 70B is safer overall; choose ShieldGemma 9B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | ShieldGemma 9B |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | general production evaluation |
| Decision fit | Agents, Vision, and Classification | Classification |
| Context window | 8k | 8k |
| Cheapest output | $0.90/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.3 70B uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Local decision data tags ShieldGemma 9B for Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
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 3.3 70B and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for ShieldGemma 9B and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2024-07-01 |
| Context window | 8k | 8k |
| Parameters | 70B | 9B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Gemma |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-12 | - |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | ShieldGemma 9B |
|---|---|---|
| Input price | $0.90/1M tokens | - |
| Output price | $0.90/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | ShieldGemma 9B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.