ShieldGemma 2 vs Swallow 30B
ShieldGemma 2 (2024) and Swallow 30B (2025) are compact production models from Google DeepMind and Tokyo Institute of Technology. ShieldGemma 2 ships a not-yet-sourced context window, while Swallow 30B ships a 16k-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.
Swallow 30B is safer overall; choose ShieldGemma 2 when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | ShieldGemma 2 | Swallow 30B |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | general production evaluation |
| Decision fit | Agents, Vision, and Classification | General |
| Context window | — | 16k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- ShieldGemma 2 has broader tracked provider coverage for fallback and procurement flexibility.
- ShieldGemma 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags ShieldGemma 2 for Agents, Vision, and Classification.
- Swallow 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
ShieldGemma 2
Unavailable
No complete token price in local provider data
Swallow 30B
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 2 and Swallow 30B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Swallow 30B and ShieldGemma 2; plan for SDK, billing, or endpoint changes.
- ShieldGemma 2 adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-01 | 2025-02-14 |
| Context window | — | 16k |
| Parameters | 4B | 30B |
| Architecture | Decoder Only | - |
| License | Proprietary | Llama 2 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2023 |
Pricing and availability
| Pricing attribute | ShieldGemma 2 | Swallow 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | ShieldGemma 2 | Swallow 30B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | 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.
Deep dive
The capability footprint differs most on vision: ShieldGemma 2, multimodal input: ShieldGemma 2, function calling: ShieldGemma 2, tool use: ShieldGemma 2, and structured outputs: ShieldGemma 2. 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 2 has no token price sourced yet and Swallow 30B 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 2 when vision-heavy evaluation and broader provider choice are central to the workload. Choose Swallow 30B 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.
FAQ
Is ShieldGemma 2 or Swallow 30B open source?
ShieldGemma 2 is listed under Proprietary. Swallow 30B is listed under Llama 2 Community. 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, ShieldGemma 2 or Swallow 30B?
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, ShieldGemma 2 or Swallow 30B?
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, ShieldGemma 2 or Swallow 30B?
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, ShieldGemma 2 or Swallow 30B?
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 ShieldGemma 2 and Swallow 30B?
ShieldGemma 2 is available on GCP Vertex AI. Swallow 30B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.