ERNIE 4.5 0.3B PT vs NVIDIA Nemotron 3 Super 120B A12B 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-Super-120B-A12B-BF16 |
|---|---|---|
| Developer | Baidu | NVIDIA |
| Family | Ernie 4 5 0 3b Pt | Nvidia Nemotron 3 Super 120b A12b Bf16 |
| Model | ERNIE-4.5-0.3B-PT | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 |
| Version | ERNIE-4.5-0.3B-PT | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 |
| Lifecycle | active | active |
| Released | Unknown | 2026-03-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 360.7M | 123.6B |
| Active parameters | Unknown | 12B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), Together Ai (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
ERNIE 4.5 0.3B PT Capabilities
NVIDIA Nemotron 3 Super 120B A12B 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 Super 120B A12B BF16 FAQs
Is ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Super 120B A12B 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 Super 120B A12B 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 Super 120B A12B 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 Super 120B A12B BF16?+
NVIDIA Nemotron 3 Super 120B A12B BF16 has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and NVIDIA Nemotron 3 Super 120B A12B BF16 supports 262K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Super 120B A12B 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 Super 120B A12B 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 Super 120B A12B BF16 is open weight.
Can ERNIE 4.5 0.3B PT and NVIDIA Nemotron 3 Super 120B A12B BF16 understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; NVIDIA Nemotron 3 Super 120B A12B 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 Super 120B A12B BF16?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and NVIDIA Nemotron 3 Super 120B A12B BF16 is —.
Do ERNIE 4.5 0.3B PT and NVIDIA Nemotron 3 Super 120B A12B BF16 support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. NVIDIA Nemotron 3 Super 120B A12B BF16: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Super 120B A12B BF16?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; NVIDIA Nemotron 3 Super 120B A12B BF16 has 2, so NVIDIA Nemotron 3 Super 120B A12B BF16 has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or NVIDIA Nemotron 3 Super 120B A12B 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.