ERNIE 4.5 0.3B PT vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16
At a Glance
| Compare |  ERNIE 4.5 0.3B PTBaidu | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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 | ERNIE-4.5-0.3B-PT | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
|---|---|---|
| Developer | Baidu | NVIDIA |
| Family | Ernie 4 5 0 3b Pt | Nvidia Nemotron 3 Nano 30b A3b Base Bf16 |
| Model | ERNIE-4.5-0.3B-PT | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
| Version | ERNIE-4.5-0.3B-PT | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-15 |
| Knowledge cutoff | Unknown | 2025-06-25 |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 360.7M | 31.6B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Unknown | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | chat, generation | generation |
ERNIE 4.5 0.3B PT Capabilities
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
ERNIE-4.5-0.3B-PTBaidu | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | ERNIE-4.5-0.3B-PTBaidu | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs | Grok 4.6xAI | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | ERNIE-4.5-0.3B-PTBaidu | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  GLM-5.3Z.ai | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Hy4 previewTencent | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16 FAQs
Is ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and NVIDIA Nemotron 3 Nano 30B A3B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 supports 262K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is open weight.
Can ERNIE 4.5 0.3B PT and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is 131K.
Do ERNIE 4.5 0.3B PT and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. NVIDIA Nemotron 3 Nano 30B A3B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has 0, a tie.
Which offers better value, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
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.