ShieldGemma 9B vs Together LFM2-24B
ShieldGemma 9B (2024) and Together LFM2-24B (2025) are compact production models from Google DeepMind and Liquid AI. ShieldGemma 9B ships a 8K-token context window, while Together LFM2-24B 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. The goal is to make the tradeoff clear before deeper testing.
Together LFM2-24B is safer overall; choose ShieldGemma 9B when provider fit matters.
Decision scorecard
Local evidence first| Signal | ShieldGemma 9B | Together LFM2-24B |
|---|---|---|
| Decision fit | Classification | General |
| Context window | 8K | 8k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ShieldGemma 9B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags ShieldGemma 9B for Classification.
- Use Together LFM2-24B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
ShieldGemma 9B
Unavailable
No complete token price in local provider data
Together LFM2-24B
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 ShieldGemma 9B and Together LFM2-24B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Together LFM2-24B and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-01 | 2025-12-01 |
| Context window | 8K | 8k |
| Parameters | 9B | 23.8B |
| Architecture | decoder only | - |
| License | 1 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | ShieldGemma 9B | Together LFM2-24B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | ShieldGemma 9B | Together LFM2-24B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
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: ShieldGemma 9B has no token price sourced yet and Together LFM2-24B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose ShieldGemma 9B when provider fit and broader provider choice are central to the workload. Choose Together LFM2-24B 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
Which has a larger context window, ShieldGemma 9B or Together LFM2-24B?
ShieldGemma 9B supports 8K tokens, while Together LFM2-24B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is ShieldGemma 9B or Together LFM2-24B open source?
ShieldGemma 9B is listed under 1. Together LFM2-24B 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 ShieldGemma 9B and Together LFM2-24B?
ShieldGemma 9B is available on NVIDIA NIM. Together LFM2-24B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick ShieldGemma 9B over Together LFM2-24B?
Together LFM2-24B is safer overall; choose ShieldGemma 9B when provider fit matters. If your workload also depends on provider fit, start with ShieldGemma 9B; if it depends on provider fit, run the same evaluation with Together LFM2-24B.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.