LLM Reference

Hunyuan Large vs ShieldGemma 2

Hunyuan Large (2024) and ShieldGemma 2 (2024) are compact production models from Tencent AI Lab and Google DeepMind. Hunyuan Large ships a 128k-token context window, while ShieldGemma 2 ships a not-yet-sourced 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.

Hunyuan Large is safer overall; choose ShieldGemma 2 when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalHunyuan LargeShieldGemma 2
Best forgeneral production evaluationmultimodal apps and tool-calling agents
Decision fitLong contextAgents, Vision, and Classification
Context window128k
Cheapest output--
Provider routes0 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Hunyuan Large when...
  • Hunyuan Large has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags Hunyuan Large for Long context.
Choose ShieldGemma 2 when...
  • ShieldGemma 2 has broader tracked provider coverage for fallback and procurement flexibility.
  • ShieldGemma 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags ShieldGemma 2 for Agents, Vision, and Classification.

Monthly cost at traffic

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

Hunyuan Large

Unavailable

No complete token price in local provider data

ShieldGemma 2

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Hunyuan Large -> ShieldGemma 2
  • No overlapping tracked provider route is sourced for Hunyuan Large and ShieldGemma 2; plan for SDK, billing, or endpoint changes.
  • ShieldGemma 2 adds Vision, Multimodal, and Function calling in local capability data.
ShieldGemma 2 -> Hunyuan Large
  • No overlapping tracked provider route is sourced for ShieldGemma 2 and Hunyuan Large; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2024-11-042024-09-01
Context window128k
Parameters389B (52B active)4B
ArchitectureMixture of ExpertsDecoder Only
LicenseTencent Hunyuan Community LicenseProprietary
OpennessOpen weightsProprietary
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff--

Pricing and availability

Pricing attributeHunyuan LargeShieldGemma 2
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityHunyuan LargeShieldGemma 2
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo
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: ShieldGemma 2, multimodal input: ShieldGemma 2, function calling: ShieldGemma 2, tool use: ShieldGemma 2, and structured outputs: ShieldGemma 2. 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: Hunyuan Large has no token price sourced yet and ShieldGemma 2 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 Hunyuan Large when provider fit are central to the workload. Choose ShieldGemma 2 when vision-heavy evaluation 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.

FAQ

Is Hunyuan Large or ShieldGemma 2 open source?

Hunyuan Large is listed under Tencent Hunyuan Community License. ShieldGemma 2 is listed under Proprietary. 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, Hunyuan Large or ShieldGemma 2?

ShieldGemma 2 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 multimodal input, Hunyuan Large or ShieldGemma 2?

ShieldGemma 2 has the clearer documented multimodal input signal in this comparison. If multimodal input 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, Hunyuan Large or ShieldGemma 2?

ShieldGemma 2 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, Hunyuan Large or ShieldGemma 2?

ShieldGemma 2 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 Hunyuan Large and ShieldGemma 2?

Hunyuan Large is available on the tracked providers still being sourced. ShieldGemma 2 is available on GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.