LFM2-24B-A2B vs ShieldGemma 9B
LFM2-24B-A2B (2025) and ShieldGemma 9B (2024) are compact production models from Liquid AI and Google DeepMind. LFM2-24B-A2B ships a 32K-token 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. The goal is to make the tradeoff clear before deeper testing.
LFM2-24B-A2B fits 4x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.
Decision scorecard
Local evidence first| Signal | LFM2-24B-A2B | ShieldGemma 9B |
|---|---|---|
| Decision fit | Agents, Classification, and JSON / Tool use | Classification |
| Context window | 32K | 8K |
| Cheapest output | $0.12/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- LFM2-24B-A2B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- LFM2-24B-A2B uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags LFM2-24B-A2B for Agents, Classification, and JSON / Tool use.
- 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.
LFM2-24B-A2B
$54.00
Cheapest tracked route: OpenRouter
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 LFM2-24B-A2B and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for ShieldGemma 9B and LFM2-24B-A2B; plan for SDK, billing, or endpoint changes.
- LFM2-24B-A2B adds Function calling, Tool use, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-01 | 2024-07-01 |
| Context window | 32K | 8K |
| Parameters | 24B | 9B |
| Architecture | moe | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | LFM2-24B-A2B | ShieldGemma 9B |
|---|---|---|
| Input price | $0.03/1M tokens | - |
| Output price | $0.12/1M tokens | - |
| Providers |
Capabilities
| Capability | LFM2-24B-A2B | ShieldGemma 9B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | 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 function calling: LFM2-24B-A2B, tool use: LFM2-24B-A2B, and structured outputs: LFM2-24B-A2B. 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: LFM2-24B-A2B has $0.03/1M 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 LFM2-24B-A2B when long-context analysis and larger context windows 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
Which has a larger context window, LFM2-24B-A2B or ShieldGemma 9B?
LFM2-24B-A2B supports 32K tokens, while ShieldGemma 9B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Is LFM2-24B-A2B or ShieldGemma 9B open source?
LFM2-24B-A2B 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 function calling, LFM2-24B-A2B or ShieldGemma 9B?
LFM2-24B-A2B 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, LFM2-24B-A2B or ShieldGemma 9B?
LFM2-24B-A2B 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.
Which is better for structured outputs, LFM2-24B-A2B or ShieldGemma 9B?
LFM2-24B-A2B 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 LFM2-24B-A2B and ShieldGemma 9B?
LFM2-24B-A2B is available on OpenRouter. 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.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.