LLM ReferenceLLM Reference

Granite 3.3 8B Instruct vs ShieldGemma 9B

Granite 3.3 8B Instruct (2025) and ShieldGemma 9B (2024) are compact production models from IBM Research and Google DeepMind. Granite 3.3 8B Instruct ships a 128K-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.

Granite 3.3 8B Instruct fits 16x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.

Decision scorecard

Local evidence first
SignalGranite 3.3 8B InstructShieldGemma 9B
Decision fitRAG, Agents, and Long contextClassification
Context window128K8K
Cheapest output$0.25/1M tokens-
Provider routes2 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Granite 3.3 8B Instruct when...
  • Granite 3.3 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Granite 3.3 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
  • Granite 3.3 8B Instruct uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags Granite 3.3 8B Instruct 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 prices on this page.

Granite 3.3 8B Instruct

$86.50

Cheapest tracked route: Replicate API

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

Granite 3.3 8B Instruct -> ShieldGemma 9B
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
ShieldGemma 9B -> Granite 3.3 8B Instruct
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Granite 3.3 8B Instruct adds Function calling and Tool use in local capability data.

Specs

Specification
Released2025-03-012024-07-01
Context window128K8K
Parameters8B9B
Architecturedecoder onlydecoder only
LicenseApache 2.01
Knowledge cutoff--

Pricing and availability

Pricing attributeGranite 3.3 8B InstructShieldGemma 9B
Input price$0.03/1M tokens-
Output price$0.25/1M tokens-
Providers

Capabilities

CapabilityGranite 3.3 8B InstructShieldGemma 9B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsNoNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Granite 3.3 8B Instruct and tool use: Granite 3.3 8B Instruct. 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: Granite 3.3 8B Instruct has $0.03/1M input tokens 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 Granite 3.3 8B Instruct when long-context analysis, 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, Granite 3.3 8B Instruct or ShieldGemma 9B?

Granite 3.3 8B Instruct supports 128K 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 Granite 3.3 8B Instruct or ShieldGemma 9B open source?

Granite 3.3 8B Instruct 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 function calling, Granite 3.3 8B Instruct or ShieldGemma 9B?

Granite 3.3 8B Instruct 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, Granite 3.3 8B Instruct or ShieldGemma 9B?

Granite 3.3 8B Instruct 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 Granite 3.3 8B Instruct and ShieldGemma 9B?

Granite 3.3 8B Instruct is available on NVIDIA NIM and Replicate API. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Granite 3.3 8B Instruct over ShieldGemma 9B?

Granite 3.3 8B Instruct fits 16x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls. If your workload also depends on long-context analysis, start with Granite 3.3 8B Instruct; if it depends on provider fit, run the same evaluation with ShieldGemma 9B.

Continue comparing

Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.