LLM Reference

o3 Mini vs ShieldGemma 9B

o3 Mini (2025) and ShieldGemma 9B (2024) are frontier reasoning models from OpenAI and Google DeepMind. o3 Mini ships a 200k-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.

o3 Mini fits 25x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.

Decision scorecard

Local evidence first
Signalo3 MiniShieldGemma 9B
Best forreasoning-heavy apps, tool-calling agents, and provider-routed productiongeneral production evaluation
Decision fitCoding, RAG, and AgentsClassification
Context window200k8k
Cheapest output$4.40/1M tokens-
Provider routes4 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose o3 Mini when...
  • o3 Mini has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • o3 Mini has broader tracked provider coverage for fallback and procurement flexibility.
  • o3 Mini uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags o3 Mini for Coding, RAG, and Agents.
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.

o3 Mini

$1,980

Cheapest tracked route/tier: OpenRouter

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

o3 Mini -> ShieldGemma 9B
  • No overlapping tracked provider route is sourced for o3 Mini and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
ShieldGemma 9B -> o3 Mini
  • No overlapping tracked provider route is sourced for ShieldGemma 9B and o3 Mini; plan for SDK, billing, or endpoint changes.
  • o3 Mini adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification
Released2025-01-312024-07-01
Context window200k8k
Parameters9B
Architecturedecoder onlydecoder only
LicenseProprietaryGemma
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff2025-04-

Pricing and availability

Pricing attributeo3 MiniShieldGemma 9B
Input price$1.10/1M tokens-
Output price$4.40/1M tokens-
Providers

Capabilities

Capabilityo3 MiniShieldGemma 9B
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo
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 reasoning mode: o3 Mini, function calling: o3 Mini, tool use: o3 Mini, structured outputs: o3 Mini, and code execution: o3 Mini. 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: o3 Mini has $1.10/1M input tokens and ShieldGemma 9B has no token price sourced yet. Provider availability is 4 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose o3 Mini when coding workflow support, 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, o3 Mini or ShieldGemma 9B?

o3 Mini supports 200k 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 o3 Mini or ShieldGemma 9B open source?

o3 Mini is listed under Proprietary. ShieldGemma 9B is listed under Gemma. 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 reasoning mode, o3 Mini or ShieldGemma 9B?

o3 Mini 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.

Which is better for function calling, o3 Mini or ShieldGemma 9B?

o3 Mini 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, o3 Mini or ShieldGemma 9B?

o3 Mini 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 o3 Mini and ShieldGemma 9B?

o3 Mini is available on OpenRouter, Azure OpenAI, OpenAI API, and Vercel AI Gateway. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.