ShieldGemma 9B vs Step-1V Turbo
ShieldGemma 9B (2024) and Step-1V Turbo (2024) are compact production models from Google DeepMind and StepFun. ShieldGemma 9B ships a 8k-token context window, while Step-1V Turbo 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. The goal is to make the tradeoff clear before deeper testing.
ShieldGemma 9B is safer overall; choose Step-1V Turbo when provider fit matters.
Decision scorecard
Local evidence first| Signal | ShieldGemma 9B | Step-1V Turbo |
|---|---|---|
| Best for | general production evaluation | multimodal apps |
| Decision fit | Classification | Vision |
| Context window | 8k | — |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ShieldGemma 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- ShieldGemma 9B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags ShieldGemma 9B for Classification.
- Step-1V Turbo uniquely exposes Multimodal in local model data.
- Local decision data tags Step-1V Turbo for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
ShieldGemma 9B
Unavailable
No complete token price in local provider data
Step-1V Turbo
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 Step-1V Turbo; plan for SDK, billing, or endpoint changes.
- Step-1V Turbo adds Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Step-1V Turbo and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-01 | 2024-07-01 |
| Context window | 8k | — |
| Parameters | 9B | — |
| Architecture | decoder only | - |
| License | 1 | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | ShieldGemma 9B | Step-1V Turbo |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | ShieldGemma 9B | Step-1V Turbo |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Step-1V Turbo. 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: ShieldGemma 9B has no token price sourced yet and Step-1V Turbo 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 Step-1V Turbo 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 ShieldGemma 9B or Step-1V Turbo open source?
ShieldGemma 9B is listed under 1. Step-1V Turbo 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 multimodal input, ShieldGemma 9B or Step-1V Turbo?
Step-1V Turbo 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.
Where can I run ShieldGemma 9B and Step-1V Turbo?
ShieldGemma 9B is available on NVIDIA NIM. Step-1V Turbo 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 Step-1V Turbo?
ShieldGemma 9B is safer overall; choose Step-1V Turbo 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 Step-1V Turbo.
Continue comparing
Last reviewed: 2026-05-29. Data sourced from public model cards and provider documentation.