Llama 3.1 70B Instruct vs ShieldGemma 2
Llama 3.1 70B Instruct (2024) and ShieldGemma 2 (2024) are compact production models from AI at Meta and Google DeepMind. Llama 3.1 70B Instruct ships a 128K-token context window, while ShieldGemma 2 ships a not-yet-sourced 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.
ShieldGemma 2 is safer overall; choose Llama 3.1 70B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.1 70B Instruct | ShieldGemma 2 |
|---|---|---|
| Decision fit | Coding, RAG, and Long context | Agents, Vision, and Classification |
| Context window | 128K | — |
| Cheapest output | $0.4/1M tokens | - |
| Provider routes | 11 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 70B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3.1 70B Instruct for Coding, RAG, and Long context.
- ShieldGemma 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags ShieldGemma 2 for Agents, Vision, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.1 70B Instruct
$420
Cheapest tracked route: Hyperbolic AI Inference
ShieldGemma 2
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 3.1 70B Instruct and ShieldGemma 2; plan for SDK, billing, or endpoint changes.
- ShieldGemma 2 adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for ShieldGemma 2 and Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2024-09-01 |
| Context window | 128K | — |
| Parameters | 70B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 70B Instruct | ShieldGemma 2 |
|---|---|---|
| Input price | $0.4/1M tokens | - |
| Output price | $0.4/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama 3.1 70B Instruct | ShieldGemma 2 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: ShieldGemma 2, multimodal input: ShieldGemma 2, function calling: ShieldGemma 2, and tool use: ShieldGemma 2. Both models share structured outputs, 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 3.1 70B Instruct has $0.4/1M input tokens and ShieldGemma 2 has no token price sourced yet. Provider availability is 11 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 3.1 70B Instruct when provider fit and broader provider choice are central to the workload. Choose ShieldGemma 2 when vision-heavy evaluation 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 3.1 70B Instruct or ShieldGemma 2 open source?
Llama 3.1 70B Instruct is listed under Open Source. ShieldGemma 2 is listed under Proprietary. 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 vision, Llama 3.1 70B Instruct or ShieldGemma 2?
ShieldGemma 2 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Llama 3.1 70B Instruct or ShieldGemma 2?
ShieldGemma 2 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Llama 3.1 70B Instruct or ShieldGemma 2?
ShieldGemma 2 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Llama 3.1 70B Instruct or ShieldGemma 2?
ShieldGemma 2 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 3.1 70B Instruct and ShieldGemma 2?
Llama 3.1 70B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, NVIDIA NIM, and Microsoft Foundry. ShieldGemma 2 is available on GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.