LLM Reference

DeepSeek R1 Basic vs ShieldGemma 9B

DeepSeek R1 Basic (2025) and ShieldGemma 9B (2024) are frontier reasoning models from DeepSeek and Google DeepMind. DeepSeek R1 Basic ships a 160k-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.

DeepSeek R1 Basic fits 20x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.

Decision scorecard

Local evidence first
SignalDeepSeek R1 BasicShieldGemma 9B
Best forreasoning-heavy appsgeneral production evaluation
Decision fitLong contextClassification
Context window160k8k
Cheapest output$1.68/1M tokens-
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek R1 Basic when...
  • DeepSeek R1 Basic has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek R1 Basic uniquely exposes Reasoning in local model data.
  • Local decision data tags DeepSeek R1 Basic for 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.

DeepSeek R1 Basic

$868

Cheapest tracked route/tier: Fireworks AI

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

DeepSeek R1 Basic -> ShieldGemma 9B
  • No overlapping tracked provider route is sourced for DeepSeek R1 Basic and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
ShieldGemma 9B -> DeepSeek R1 Basic
  • No overlapping tracked provider route is sourced for ShieldGemma 9B and DeepSeek R1 Basic; plan for SDK, billing, or endpoint changes.
  • DeepSeek R1 Basic adds Reasoning in local capability data.

Specs

Specification
Released2025-01-012024-07-01
Context window160k8k
Parameters671B9B
Architecturedecoder onlydecoder only
LicenseMIT(OSI)Gemma
OpennessOpen sourceOpen weights
Commercial useCommercial use allowedCommercial use with conditions
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek R1 BasicShieldGemma 9B
Input price$0.56/1M tokens-
Output price$1.68/1M tokens-
Providers

Capabilities

CapabilityDeepSeek R1 BasicShieldGemma 9B
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingNoNo
Tool useNoNo
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 reasoning mode: DeepSeek R1 Basic. 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: DeepSeek R1 Basic has $0.56/1M input tokens and ShieldGemma 9B has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek R1 Basic when reasoning depth and larger context windows 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. 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, DeepSeek R1 Basic or ShieldGemma 9B?

DeepSeek R1 Basic supports 160k 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 DeepSeek R1 Basic or ShieldGemma 9B open source?

DeepSeek R1 Basic is listed under MIT. 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, DeepSeek R1 Basic or ShieldGemma 9B?

DeepSeek R1 Basic 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 DeepSeek R1 Basic and ShieldGemma 9B?

DeepSeek R1 Basic is available on Fireworks AI. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

When should I pick DeepSeek R1 Basic over ShieldGemma 9B?

DeepSeek R1 Basic fits 20x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls. If your workload also depends on reasoning depth, start with DeepSeek R1 Basic; 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.