LLM Reference

Gemma 4 12B vs ShieldGemma 9B

Gemma 4 12B (2026) and ShieldGemma 9B (2024) are frontier reasoning models from Google DeepMind. Gemma 4 12B ships a 256k-token context window, while ShieldGemma 9B ships a 8k-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.

Gemma 4 12B fits 32x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.

Decision scorecard

Local evidence first
SignalGemma 4 12BShieldGemma 9B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsgeneral production evaluation
Decision fitRAG, Agents, and Long contextClassification
Context window256k8k
Cheapest output--
Provider routes2 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 4 12B when...
  • Gemma 4 12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 4 12B has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemma 4 12B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Gemma 4 12B for RAG, Agents, and Long context.
Choose ShieldGemma 9B when...
  • Local decision data tags ShieldGemma 9B for Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Gemma 4 12B

Unavailable

No complete token price in local provider data

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

Gemma 4 12B -> ShieldGemma 9B
  • No overlapping tracked provider route is sourced for Gemma 4 12B and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
ShieldGemma 9B -> Gemma 4 12B
  • No overlapping tracked provider route is sourced for ShieldGemma 9B and Gemma 4 12B; plan for SDK, billing, or endpoint changes.
  • Gemma 4 12B adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-06-032024-07-01
Context window256k8k
Parameters11.9B9B
Architectureencoder free unified multimodaldecoder only
LicenseApache 2.01
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemma 4 12BShieldGemma 9B
Input price--
Output price--
Providers

Pricing not yet sourced for either model.

Capabilities

CapabilityGemma 4 12BShieldGemma 9B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Gemma 4 12B, multimodal input: Gemma 4 12B, reasoning mode: Gemma 4 12B, function calling: Gemma 4 12B, and tool use: Gemma 4 12B. 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: Gemma 4 12B has no token price sourced yet and ShieldGemma 9B has no token price sourced yet. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 4 12B when reasoning depth, larger context windows, and broader provider choice 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.

FAQ

Which has a larger context window, Gemma 4 12B or ShieldGemma 9B?

Gemma 4 12B supports 256k 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.

Is Gemma 4 12B or ShieldGemma 9B open source?

Gemma 4 12B is listed under Apache 2.0. 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 vision, Gemma 4 12B or ShieldGemma 9B?

Gemma 4 12B 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.

Which is better for multimodal input, Gemma 4 12B or ShieldGemma 9B?

Gemma 4 12B 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 reasoning mode, Gemma 4 12B or ShieldGemma 9B?

Gemma 4 12B has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemma 4 12B and ShieldGemma 9B?

Gemma 4 12B is available on Hugging Face Inference Endpoints and Kaggle Models. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.