LLM Reference

GPT-4o (11-20) vs ShieldGemma 9B

GPT-4o (11-20) (2024) and ShieldGemma 9B (2024) are compact production models from OpenAI and Google DeepMind. GPT-4o (11-20) ships a 128k-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.

GPT-4o (11-20) fits 16x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-4o (11-20)ShieldGemma 9B
Best formultimodal appsgeneral production evaluation
Decision fitCoding, Agents, and Long contextClassification
Context window128k8k
Cheapest output--
Provider routes0 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4o (11-20) when...
  • GPT-4o (11-20) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-4o (11-20) uniquely exposes Vision and Code execution in local model data.
  • Local decision data tags GPT-4o (11-20) for Coding, Agents, and Long context.
Choose ShieldGemma 9B when...
  • ShieldGemma 9B has broader tracked provider coverage for fallback and procurement flexibility.
  • 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.

GPT-4o (11-20)

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

GPT-4o (11-20) -> ShieldGemma 9B
  • No overlapping tracked provider route is sourced for GPT-4o (11-20) and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Code execution before moving production traffic.
ShieldGemma 9B -> GPT-4o (11-20)
  • No overlapping tracked provider route is sourced for ShieldGemma 9B and GPT-4o (11-20); plan for SDK, billing, or endpoint changes.
  • GPT-4o (11-20) adds Vision and Code execution in local capability data.

Specs

Specification
Released2024-11-202024-07-01
Context window128k8k
Parameters1.76T (8x222B MoE)*9B
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryGemma
OpennessProprietaryOpen weights
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2023-10-

Pricing and availability

Pricing attributeGPT-4o (11-20)ShieldGemma 9B
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityGPT-4o (11-20)ShieldGemma 9B
VisionYesNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4o (11-20) and code execution: GPT-4o (11-20). 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: GPT-4o (11-20) has no token price sourced yet and ShieldGemma 9B has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-4o (11-20) when coding workflow support and larger context windows are central to the workload. Choose ShieldGemma 9B when provider fit and broader provider choice 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, GPT-4o (11-20) or ShieldGemma 9B?

GPT-4o (11-20) 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 GPT-4o (11-20) or ShieldGemma 9B open source?

GPT-4o (11-20) 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 vision, GPT-4o (11-20) or ShieldGemma 9B?

GPT-4o (11-20) 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 code execution, GPT-4o (11-20) or ShieldGemma 9B?

GPT-4o (11-20) has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-4o (11-20) and ShieldGemma 9B?

GPT-4o (11-20) is available on the tracked providers still being sourced. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick GPT-4o (11-20) over ShieldGemma 9B?

GPT-4o (11-20) fits 16x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls. If your workload also depends on coding workflow support, start with GPT-4o (11-20); if it depends on provider fit, run the same evaluation with ShieldGemma 9B.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.