LLM Reference

Nemotron 3 Super-120B-A12B vs TxGemma

Nemotron 3 Super-120B-A12B (2026) and TxGemma (2024) are general-purpose language models from NVIDIA AI and Google DeepMind. Nemotron 3 Super-120B-A12B ships a 1.05m-token context window, while TxGemma 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.

Nemotron 3 Super-120B-A12B is safer overall; choose TxGemma when provider fit matters.

Decision scorecard

Local evidence first
SignalNemotron 3 Super-120B-A12BTxGemma
Best forlong-context analysis and provider-routed productiontool-calling agents
Decision fitRAG, Long context, and ClassificationAgents, Classification, and JSON / Tool use
Context window1.05m
Cheapest output$0.45/1M tokens-
Provider routes6 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Nemotron 3 Super-120B-A12B when...
  • Nemotron 3 Super-120B-A12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Nemotron 3 Super-120B-A12B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Nemotron 3 Super-120B-A12B for RAG, Long context, and Classification.
Choose TxGemma when...
  • TxGemma uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags TxGemma for Agents, Classification, and JSON / Tool use.

Monthly cost at traffic

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

Nemotron 3 Super-120B-A12B

$185

Cheapest tracked route/tier: OpenRouter

TxGemma

Unavailable

No complete token price in local provider data

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

Switch friction

Nemotron 3 Super-120B-A12B -> TxGemma
  • No overlapping tracked provider route is sourced for Nemotron 3 Super-120B-A12B and TxGemma; plan for SDK, billing, or endpoint changes.
  • TxGemma adds Function calling and Tool use in local capability data.
TxGemma -> Nemotron 3 Super-120B-A12B
  • No overlapping tracked provider route is sourced for TxGemma and Nemotron 3 Super-120B-A12B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.

Specs

Specification
Released2026-03-112024-06-01
Context window1.05m
Parameters120B2B
Architecturedecoder onlydecoder only
LicenseNVIDIA Open ModelProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeNemotron 3 Super-120B-A12BTxGemma
Input price$0.09/1M tokens-
Output price$0.45/1M tokens-
Providers

Capabilities

CapabilityNemotron 3 Super-120B-A12BTxGemma
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsYesYes
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 function calling: TxGemma and tool use: TxGemma. Both models share structured outputs, 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: Nemotron 3 Super-120B-A12B has $0.09/1M input tokens and TxGemma has no token price sourced yet. Provider availability is 6 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Nemotron 3 Super-120B-A12B when provider fit and broader provider choice are central to the workload. Choose TxGemma 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

Is Nemotron 3 Super-120B-A12B or TxGemma open source?

Nemotron 3 Super-120B-A12B is listed under NVIDIA Open Model. TxGemma 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 function calling, Nemotron 3 Super-120B-A12B or TxGemma?

TxGemma 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, Nemotron 3 Super-120B-A12B or TxGemma?

TxGemma 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.

Which is better for structured outputs, Nemotron 3 Super-120B-A12B or TxGemma?

Both Nemotron 3 Super-120B-A12B and TxGemma expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Where can I run Nemotron 3 Super-120B-A12B and TxGemma?

Nemotron 3 Super-120B-A12B is available on Cloudflare Workers AI, DeepInfra, NVIDIA NIM, OpenRouter, and Fireworks AI. TxGemma is available on GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Nemotron 3 Super-120B-A12B over TxGemma?

Nemotron 3 Super-120B-A12B is safer overall; choose TxGemma when provider fit matters. If your workload also depends on provider fit, start with Nemotron 3 Super-120B-A12B; if it depends on provider fit, run the same evaluation with TxGemma.

Continue comparing

Last reviewed: 2026-06-01. Data sourced from public model cards and provider documentation.