LLM Reference

Gemma 3 12B vs Granite Guardian 3.0 8B

Gemma 3 12B (2026) and Granite Guardian 3.0 8B (2025) are compact production models from Google DeepMind and IBM Research. Gemma 3 12B ships a 33k-token context window, while Granite Guardian 3.0 8B 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.

Gemma 3 12B fits 4x more tokens; pick it for long-context work and Granite Guardian 3.0 8B for tighter calls.

Decision scorecard

Local evidence first
SignalGemma 3 12BGranite Guardian 3.0 8B
Best forprovider-routed productiongeneral production evaluation
Decision fitClassification and JSON / Tool useClassification
Context window33k8k
Cheapest output$0.13/1M tokens-
Provider routes5 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 12B when...
  • Gemma 3 12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 3 12B has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemma 3 12B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemma 3 12B for Classification and JSON / Tool use.
Choose Granite Guardian 3.0 8B when...
  • Local decision data tags Granite Guardian 3.0 8B for Classification.

Monthly cost at traffic

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

Gemma 3 12B

$64.50

Cheapest tracked route/tier: OpenRouter

Granite Guardian 3.0 8B

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 3 12B -> Granite Guardian 3.0 8B
  • No overlapping tracked provider route is sourced for Gemma 3 12B and Granite Guardian 3.0 8B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
Granite Guardian 3.0 8B -> Gemma 3 12B
  • No overlapping tracked provider route is sourced for Granite Guardian 3.0 8B and Gemma 3 12B; plan for SDK, billing, or endpoint changes.
  • Gemma 3 12B adds Structured outputs in local capability data.

Specs

Specification
Released2026-01-012025-03-01
Context window33k8k
Parameters12B8B
Architecturedecoder onlydecoder only
LicenseGemmaApache 2.0(OSI)
OpennessOpen weightsOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2024-082024-04

Pricing and availability

Pricing attributeGemma 3 12BGranite Guardian 3.0 8B
Input price$0.04/1M tokens-
Output price$0.13/1M tokens-
Providers

Capabilities

CapabilityGemma 3 12BGranite Guardian 3.0 8B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
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 structured outputs: Gemma 3 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 3 12B has $0.04/1M input tokens and Granite Guardian 3.0 8B has no token price sourced yet. Provider availability is 5 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 3 12B when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Granite Guardian 3.0 8B 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, Gemma 3 12B or Granite Guardian 3.0 8B?

Gemma 3 12B supports 33k tokens, while Granite Guardian 3.0 8B 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 3 12B or Granite Guardian 3.0 8B open source?

Gemma 3 12B is listed under Gemma. Granite Guardian 3.0 8B is listed under Apache 2.0. 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 structured outputs, Gemma 3 12B or Granite Guardian 3.0 8B?

Gemma 3 12B 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 Gemma 3 12B and Granite Guardian 3.0 8B?

Gemma 3 12B is available on Cloudflare Workers AI, AWS Bedrock, OpenRouter, GCP Vertex AI, and Novita AI. Granite Guardian 3.0 8B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 3 12B over Granite Guardian 3.0 8B?

Gemma 3 12B fits 4x more tokens; pick it for long-context work and Granite Guardian 3.0 8B for tighter calls. If your workload also depends on long-context analysis, start with Gemma 3 12B; if it depends on provider fit, run the same evaluation with Granite Guardian 3.0 8B.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.