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GPT-5.5 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

GPT-5.5 specs · Nemotron-4 340B specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowGPT-5.5

    GPT-5.5 accepts 400K tokens vs 4.1K, 97.7× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesGPT-5.5

    GPT-5.5 supports 3 modalities (text, vision, audio) vs 1 for Nemotron-4 340B.

  • OpennessNemotron-4 340B

    Nemotron-4 340B ships open weights (Nvidia Open Model License); GPT-5.5 is API-only.

On balance GPT-5.5 edges ahead, winning 2 of 5 categories against Nemotron-4 340B's 1. Neither model publishes per-token API pricing. GPT-5.5 accepts 400K tokens vs 4.1K, 97.7× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, GPT-5.5 handles text, vision, audio while Nemotron-4 340B handles text, which can be the deciding factor before you even look at benchmarks. Nemotron-4 340B ships open weights (Nvidia Open Model License); GPT-5.5 is API-only.

GPT-5.5 is the newer of the two, released 21 months after Nemotron-4 340B, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-5.5 is usually picked for agents and tool use 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

SpecGPT-5.5Nemotron-4 340B
ProviderOpenAINvidia
ReleasedMar 2026Jun 2024
Modalitiestext, vision, audiotext
Context window400K tokens4.1K tokens
Max output,,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff,,
Open weightsNoYes (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.

  • GPT-5.5Pricing 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.

GPT-5.5Nemotron-4 340B
  • MMLU,81.1
Pick GPT-5.5 if

GPT-5.5 fits when…

  • Industry-leading tool-use and function-calling reliability
  • Strong end-to-end agent performance across SWE-bench and GAIA
  • Wide ecosystem support, ChatGPT, Realtime API, Responses API
  • Long-context tasks, handles 400K tokens vs 4.1K for Nemotron-4 340B.
  • Multimodal needs covering vision, audio.
Pick Nemotron-4 340B if

Nemotron-4 340B fits when…

  • Synthetic-data use case
  • Open weights
  • Self-hosting and on-prem requirements, open weights (Nvidia Open Model License).
Don't want either?

Consider GPT-5

OpenAI's unified flagship combining GPT-line breadth with built-in reasoning, replacing both GPT-4o and the o-series for most users.

See GPT-5 specsGPT-5.5 vs GPT-5Nemotron-4 340B vs GPT-5

Frequently asked

  • Is GPT-5.5 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?
    GPT-5.5 accepts 400K tokens vs 4.1K for Nemotron-4 340B.
  • Is GPT-5.5 or Nemotron-4 340B better for coding?
    Both GPT-5.5 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?
    Nemotron-4 340B ships open weights (Nvidia Open Model License). GPT-5.5 is API-only.
  • When were GPT-5.5 and Nemotron-4 340B released?
    GPT-5.5 was released by OpenAI on 2026-03-01. Nemotron-4 340B was released by Nvidia on 2024-06-14.
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