NVIDIA Nemotron 3 Nano 30B A3B BF16 vs GPT-4o
At a Glance
| Compare |  GPT-4oOpenAI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Aug 29, 2026 | $1.25Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.20Openrouter ↗ · Aug 29, 2026 | $5.00Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 262K | 128K |
| 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
| Benchmark | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | GPT-4o |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,348.44100% of row best · rating · nvidia-nemotron-3-nano-30b-a3b-bf16; 95% CI [1342.98546755, 1353.88978012]; votes 15325; rank 195 | 1,282.4595% of row best · rating · gpt-4o-2024-08-06; 95% CI [1278.25455133, 1286.63762056]; votes 45499; rank 254 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | GPT-4o |
|---|---|---|
| Developer | NVIDIA | OpenAI |
| Family | Nvidia Nemotron 3 Nano 30b A3b Bf16 | Gpt 4o |
| Model | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | GPT-4o |
| Version | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | GPT-4o |
| Lifecycle | active | active |
| Released | 2025-12-15 | Unknown |
| Knowledge cutoff | 2025-11-28 | 2023-10-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 128K |
| Total parameters | 31.6B | Unknown |
| Active parameters | 3.5B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities
GPT-4o Capabilities
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Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3 Nano 30B A3B BF16 vs GPT-4o FAQs
Is NVIDIA Nemotron 3 Nano 30B A3B BF16 or GPT-4o better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Nano 30B A3B BF16 and GPT-4o, 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 BF16 or GPT-4o?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.050 and GPT-4o is $1.25 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric. NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.20 and GPT-4o is $5.00 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric.
Which has a larger context window, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GPT-4o?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced context window. NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K and GPT-4o supports 128K.
Which performs better in benchmarks, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GPT-4o?+
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 BF16 or GPT-4o be self-hosted?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight; GPT-4o is not marked open weight.
Can NVIDIA Nemotron 3 Nano 30B A3B BF16 and GPT-4o understand images?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 is not documented with image input; GPT-4o is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GPT-4o?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced maximum output: NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 1,049K and GPT-4o supports 16K output tokens.
Do NVIDIA Nemotron 3 Nano 30B A3B BF16 and GPT-4o support reasoning and tool use?+
NVIDIA Nemotron 3 Nano 30B A3B BF16: reasoning and tool calling. GPT-4o: 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 BF16 or GPT-4o?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3 sourced provider routes; GPT-4o has 2, so NVIDIA Nemotron 3 Nano 30B A3B BF16 has broader tracked availability.
Which offers better value, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GPT-4o?+
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.