NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 vs GPT-5.2
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 | GPT-5.2 |
|---|---|---|
| Developer | NVIDIA | OpenAI |
| Family | Nvidia Nemotron 3 Nano 30b A3b Base Bf16 | Gpt 5 2 |
| Model | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 | GPT-5.2 |
| Version | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 | GPT-5.2 |
| Lifecycle | active | active |
| Released | 2025-12-15 | 2025-12-11 |
| Knowledge cutoff | 2025-06-25 | 2025-08-31 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 262,144 | 400,000 |
| Total parameters | 31,577,937,344 | Unknown |
| Active parameters | Unknown | 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, reasoning, structured_outputs, tools |
13 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 Capabilities
GPT-5.2 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 vs GPT-5.2 FAQs
Is NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 and GPT-5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2?+
Only GPT-5.2 has a directly sourced input price: $1.75 per million tokens. Only GPT-5.2 has a directly sourced output price: $14.00 per million tokens.
Which has a larger context window, NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2?+
GPT-5.2 has the larger sourced context window. NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 supports 262,144 and GPT-5.2 supports 400,000.
Which performs better in benchmarks, NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2 be self-hosted?+
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 is the only model in this pair currently marked as self-hostable. NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 is open weight; GPT-5.2 is not marked open weight.
Can NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 and GPT-5.2 understand images?+
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 is not documented with image input; GPT-5.2 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2?+
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 has the larger sourced maximum output: NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 supports 131,072 and GPT-5.2 supports 128,000 output tokens.
Do NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 and GPT-5.2 support reasoning and tool use?+
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16: none of these features are definitively sourced. GPT-5.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2?+
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 has 0 sourced provider routes; GPT-5.2 has 2, so GPT-5.2 has broader tracked availability.
Which offers better value, NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 or GPT-5.2?+
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.