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Llama 3.1 405B vs Nemotron-4 340B

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Llama 3.1 405B specs · Nemotron-4 340B specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowLlama 3.1 405B

    Llama 3.1 405B accepts 128K tokens vs 4.1K, 31.3× the room for long documents and codebases.

  • BenchmarksLlama 3.1 405B

    Llama 3.1 405B leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 88.6 vs 81.1.

  • ModalitiesTie

    Both handle text.

  • OpennessTie

    Both ship open weights, self-host either one.

On balance Llama 3.1 405B edges ahead, winning 2 of 5 categories against Nemotron-4 340B's 0. Neither model publishes per-token API pricing. Llama 3.1 405B accepts 128K tokens vs 4.1K, 31.3× the room for long documents and codebases.

Llama 3.1 405B leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 88.6 vs 81.1. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.

Llama 3.1 405B is the newer of the two, released 1 months after Nemotron-4 340B, which usually means a more recent knowledge cutoff and updated safety post-training. Llama 3.1 405B is usually picked for open source llm and fine tuning workloads, while Nemotron-4 340B sees more deployments in fine tuning. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecLlama 3.1 405BNemotron-4 340B
ProviderMetaNvidia
ReleasedJul 2024Jun 2024
Modalitiestexttext
Context window128K tokens4.1K tokens
Max output,,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff,,
Open weightsYes (Llama 3 Community License)Yes (Nvidia Open Model License)
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day, vs ,
  • Heavy usage, 1M in / 500k out per day, vs ,
  • RAG workload, 5M in / 200k out per day, vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • Llama 3.1 405BPricing unavailable
  • Nemotron-4 340BPricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Llama 3.1 405BNemotron-4 340B
  • MMLU88.681.1
  • HumanEval89.0
Pick Llama 3.1 405B if

Llama 3.1 405B fits when…

  • Historic milestone for open-weight quality
  • Wide hosting availability
  • Long-context tasks, handles 128K tokens vs 4.1K for Nemotron-4 340B.
Pick Nemotron-4 340B if

Nemotron-4 340B fits when…

  • Synthetic-data use case
  • Open weights
Don't want either?

Consider Llama 4 405B

Meta's flagship open-weight model, sparse MoE design competitive with closed-frontier flagships.

See Llama 4 405B specsLlama 3.1 405B vs Llama 4 405BNemotron-4 340B vs Llama 4 405B

Frequently asked

  • Is Llama 3.1 405B or Nemotron-4 340B cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    Llama 3.1 405B accepts 128K tokens vs 4.1K for Nemotron-4 340B.
  • Is Llama 3.1 405B or Nemotron-4 340B better for coding?
    Both Llama 3.1 405B and Nemotron-4 340B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Both ship with open weights. Llama 3.1 405B is licensed under Llama 3 Community License; Nemotron-4 340B under Nvidia Open Model License.
  • When were Llama 3.1 405B and Nemotron-4 340B released?
    Llama 3.1 405B was released by Meta on 2024-07-23. Nemotron-4 340B was released by Nvidia on 2024-06-14.
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