NVIDIA Nemotron 3 Super 120B A12B Base BF16 vs GPT-4.1 Nano
At a Glance
| Compare |  GPT-4.1 NanoOpenAI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.050Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,048K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 | GPT-4.1 Nano |
|---|---|---|
| Developer | NVIDIA | OpenAI |
| Family | Nvidia Nemotron 3 Super 120b A12b Base Bf16 | Gpt 4 1 |
| Model | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 | GPT-4.1 Nano |
| Version | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 | GPT-4.1 Nano |
| Lifecycle | active | active |
| Released | 2026-03-04 | Unknown |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,048K |
| Total parameters | 123.6B | Unknown |
| Active parameters | 12B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openai (Standard), Openrouter (Standard) |
| Capabilities | generation | chat, generation, tools |
NVIDIA Nemotron 3 Super 120B A12B Base BF16 Capabilities
GPT-4.1 Nano Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs | GPT-6 AstraOpenAI | cross-developer peerstext | |
Claude Fable 5.1Anthropic | vs | cross-developer peerstext | |
 Gemini 3.1 ProGoogle DeepMind | vs | cross-developer peerstext | |
 DeepSeek-V4.1-FlashDeepSeek | vs | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | cross-developer peerstext | |
 Kimi-K3Moonshot AI | vs | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Seed 2.1 ProByteDance Seed | vs | cross-developer peerstext | |
 Mistral Large 3Mistral AI | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3 Super 120B A12B Base BF16 vs GPT-4.1 Nano FAQs
Is NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Super 120B A12B Base BF16 and GPT-4.1 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano?+
Only GPT-4.1 Nano has a directly sourced input price: $0.050 per million tokens. Only GPT-4.1 Nano has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 has the larger sourced context window. NVIDIA Nemotron 3 Super 120B A12B Base BF16 supports 1,049K and GPT-4.1 Nano supports 1,048K.
Which performs better in benchmarks, NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano be self-hosted?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3 Super 120B A12B Base BF16 is open weight; GPT-4.1 Nano is not marked open weight.
Can NVIDIA Nemotron 3 Super 120B A12B Base BF16 and GPT-4.1 Nano understand images?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 is not documented with image input; GPT-4.1 Nano is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Super 120B A12B Base BF16 is — and GPT-4.1 Nano is 33K.
Do NVIDIA Nemotron 3 Super 120B A12B Base BF16 and GPT-4.1 Nano support reasoning and tool use?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16: none of these features are definitively sourced. GPT-4.1 Nano: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 has 0 sourced provider routes; GPT-4.1 Nano has 2, so GPT-4.1 Nano has broader tracked availability.
Which offers better value, NVIDIA Nemotron 3 Super 120B A12B Base BF16 or GPT-4.1 Nano?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.