LLM Reference

Mistral Large 2.1 (2411) vs Nemotron 3 Ultra

Mistral Large 2.1 (2411) (2024) and Nemotron 3 Ultra (2024) are compact production models from MistralAI and NVIDIA AI. Mistral Large 2.1 (2411) ships a 128k-token context window, while Nemotron 3 Ultra ships a 128k-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.

Mistral Large 2.1 (2411) is safer overall; choose Nemotron 3 Ultra when provider fit matters.

Decision scorecard

Local evidence first
SignalMistral Large 2.1 (2411)Nemotron 3 Ultra
Best fortool-calling agentsgeneral production evaluation
Decision fitRAG, Agents, and Long contextLong context
Context window128k128k
Cheapest output--
Provider routes0 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Large 2.1 (2411) when...
  • Mistral Large 2.1 (2411) uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Mistral Large 2.1 (2411) for RAG, Agents, and Long context.
Choose Nemotron 3 Ultra when...
  • Local decision data tags Nemotron 3 Ultra for Long context.

Monthly cost at traffic

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

Mistral Large 2.1 (2411)

Unavailable

No complete token price in local provider data

Nemotron 3 Ultra

Unavailable

No complete token price in local provider data

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

Switch friction

Mistral Large 2.1 (2411) -> Nemotron 3 Ultra
  • No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Nemotron 3 Ultra -> Mistral Large 2.1 (2411)
  • No overlapping tracked provider route is sourced for Nemotron 3 Ultra and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
  • Mistral Large 2.1 (2411) adds Function calling, Tool use, and Structured outputs in local capability data.

Specs

Specification
Released2024-11-182024-09-10
Context window128k128k
Parameters123B550B (55B active)
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeMistral Large 2.1 (2411)Nemotron 3 Ultra
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityMistral Large 2.1 (2411)Nemotron 3 Ultra
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
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: Mistral Large 2.1 (2411), tool use: Mistral Large 2.1 (2411), and structured outputs: Mistral Large 2.1 (2411). 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: Mistral Large 2.1 (2411) has no token price sourced yet and Nemotron 3 Ultra has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Mistral Large 2.1 (2411) when provider fit are central to the workload. Choose Nemotron 3 Ultra 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, Mistral Large 2.1 (2411) or Nemotron 3 Ultra?

Mistral Large 2.1 (2411) supports 128k tokens, while Nemotron 3 Ultra supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Mistral Large 2.1 (2411) or Nemotron 3 Ultra open source?

Mistral Large 2.1 (2411) is listed under Proprietary. Nemotron 3 Ultra 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, Mistral Large 2.1 (2411) or Nemotron 3 Ultra?

Mistral Large 2.1 (2411) 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, Mistral Large 2.1 (2411) or Nemotron 3 Ultra?

Mistral Large 2.1 (2411) 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, Mistral Large 2.1 (2411) or Nemotron 3 Ultra?

Mistral Large 2.1 (2411) has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

When should I pick Mistral Large 2.1 (2411) over Nemotron 3 Ultra?

Mistral Large 2.1 (2411) is safer overall; choose Nemotron 3 Ultra when provider fit matters. If your workload also depends on provider fit, start with Mistral Large 2.1 (2411); if it depends on provider fit, run the same evaluation with Nemotron 3 Ultra.

Continue comparing

Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.