LLM Reference

Mistral Large 2.1 (2411) vs Nemotron 4 340B

Mistral Large 2.1 (2411) (2024) and Nemotron 4 340B (2025) are compact production models from MistralAI and NVIDIA AI. Mistral Large 2.1 (2411) ships a 128k-token context window, while Nemotron 4 340B ships a 4k-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) fits 32x more tokens; pick it for long-context work and Nemotron 4 340B for tighter calls.

Decision scorecard

Local evidence first
SignalMistral Large 2.1 (2411)Nemotron 4 340B
Best fortool-calling agentsprovider-routed production
Decision fitRAG, Agents, and Long contextClassification and JSON / Tool use
Context window128k4k
Cheapest output-$4.20/1M tokens
Provider routes0 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Large 2.1 (2411) when...
  • Mistral Large 2.1 (2411) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Large 2.1 (2411) uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags Mistral Large 2.1 (2411) for RAG, Agents, and Long context.
Choose Nemotron 4 340B when...
  • Nemotron 4 340B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Nemotron 4 340B for 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.

Mistral Large 2.1 (2411)

Unavailable

No complete token price in local provider data

Nemotron 4 340B

$4,410

Cheapest tracked route/tier: DeepInfra

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

Switch friction

Mistral Large 2.1 (2411) -> Nemotron 4 340B
  • No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and Nemotron 4 340B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
Nemotron 4 340B -> Mistral Large 2.1 (2411)
  • No overlapping tracked provider route is sourced for Nemotron 4 340B and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
  • Mistral Large 2.1 (2411) adds Function calling and Tool use in local capability data.

Specs

Specification
Released2024-11-182025-02-27
Context window128k4k
Parameters123B340B
Architecturedecoder onlydecoder only
LicenseMistral LicenseNVIDIA Open Model
OpennessOpen weightsOpen weights
Commercial useNon-commercial onlyCommercial use allowed
Knowledge cutoff--

Pricing and availability

Pricing attributeMistral Large 2.1 (2411)Nemotron 4 340B
Input price-$4.20/1M tokens
Output price-$4.20/1M tokens
Providers-

Capabilities

CapabilityMistral Large 2.1 (2411)Nemotron 4 340B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
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: Mistral Large 2.1 (2411) and tool use: Mistral Large 2.1 (2411). 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: Mistral Large 2.1 (2411) has no token price sourced yet and Nemotron 4 340B has $4.20/1M input tokens. Provider availability is 0 tracked routes versus 2. 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 long-context analysis and larger context windows are central to the workload. Choose Nemotron 4 340B 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.

FAQ

Which has a larger context window, Mistral Large 2.1 (2411) or Nemotron 4 340B?

Mistral Large 2.1 (2411) supports 128k tokens, while Nemotron 4 340B supports 4k 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 4 340B open source?

Mistral Large 2.1 (2411) is listed under Mistral License. Nemotron 4 340B is listed under NVIDIA Open Model. 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 4 340B?

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 4 340B?

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 4 340B?

Both Mistral Large 2.1 (2411) and Nemotron 4 340B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Mistral Large 2.1 (2411) and Nemotron 4 340B?

Mistral Large 2.1 (2411) is available on the tracked providers still being sourced. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

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