GPT-5 mini 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 mini specs · Nemotron-4 340B specs- PriceGPT-5 mini
GPT-5 mini publishes pricing ($2.00 / 1M output tokens) while Nemotron-4 340B does not.
- Context windowGPT-5 mini
GPT-5 mini 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 mini
GPT-5 mini 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 mini is API-only.
On balance GPT-5 mini edges ahead, winning 3 of 5 categories against Nemotron-4 340B's 1. GPT-5 mini publishes pricing ($2.00 / 1M output tokens) while Nemotron-4 340B does not. GPT-5 mini 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 mini 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 mini is API-only.
GPT-5 mini is the newer of the two, released 14 months after Nemotron-4 340B, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-5 mini is usually picked for code completion and customer support 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
| Spec | GPT-5 mini | Nemotron-4 340B |
|---|---|---|
| Provider | OpenAI | Nvidia |
| Released | Aug 2025 | Jun 2024 |
| Modalities | text, vision, audio | text |
| Context window | 400K tokens | 4.1K tokens |
| Max output | 128K tokens | , |
| Input · 1M | $0.25 / 1M tokens | Pricing not published |
| Output · 1M | $2.00 / 1M tokens | Pricing not published |
| Knowledge cutoff | 2024-09 | , |
| Open weights | No | Yes (Nvidia Open Model License) |
| API available | Yes | Yes |
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$3.75 vs ,
- Heavy usage, 1M in / 500k out per day$37.50 vs ,
- RAG workload, 5M in / 200k out per day$49.50 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).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- GPT-5 mini$0.125
- 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.
- MMLU,81.1
GPT-5 mini fits when…
- Excellent price-quality ratio for production workloads
- Fast first-token latency
- Same tool-use API surface as flagship
- Long-context tasks, handles 400K tokens vs 4.1K for Nemotron-4 340B.
- Multimodal needs covering vision, audio.
Nemotron-4 340B fits when…
- Synthetic-data use case
- Open weights
- Self-hosting and on-prem requirements, open weights (Nvidia Open Model License).
Consider GPT-5.5
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Frequently asked
Is GPT-5 mini 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 mini accepts 400K tokens vs 4.1K for Nemotron-4 340B.Is GPT-5 mini or Nemotron-4 340B better for coding?
Both GPT-5 mini 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 mini is API-only.When were GPT-5 mini and Nemotron-4 340B released?
GPT-5 mini was released by OpenAI on 2025-08-07. Nemotron-4 340B was released by Nvidia on 2024-06-14.
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