ERNIE X1.1 vs NVIDIA Nemotron 3 Super 120B A12B Base BF16
At a Glance
| Compare | ERNIE X1.1Baidu | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 66K | 1,049K |
| Model facts checked | Aug 29, 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 X1.1 | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 |
|---|---|---|
| Developer | Baidu | NVIDIA |
| Family | Ernie X1 | Nvidia Nemotron 3 Super 120b A12b Base Bf16 |
| Model | ERNIE X1.1 | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 |
| Version | ERNIE X1.1 | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 |
| Lifecycle | active | active |
| Released | 2025-09-26 | 2026-03-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 66K | 1,049K |
| Total parameters | Unknown | 123.6B |
| Active parameters | Unknown | 12B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Baidu Qianfan (Standard) | Unknown |
| Capabilities | agents, chat, reasoning, search, tools | generation |
ERNIE X1.1 Capabilities
NVIDIA Nemotron 3 Super 120B A12B Base BF16 Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE X1.1 vs NVIDIA Nemotron 3 Super 120B A12B Base BF16 FAQs
Is ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and NVIDIA Nemotron 3 Super 120B A12B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
Only ERNIE X1.1 has a directly sourced input price: $1.00 per million tokens. Only ERNIE X1.1 has a directly sourced output price: $4.00 per million tokens.
Which has a larger context window, ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 has the larger sourced context window. ERNIE X1.1 supports 66K and NVIDIA Nemotron 3 Super 120B A12B Base BF16 supports 1,049K.
Which performs better in benchmarks, ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16 be self-hosted?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is open weight.
Can ERNIE X1.1 and NVIDIA Nemotron 3 Super 120B A12B Base BF16 understand images?+
ERNIE X1.1 is not documented with image input; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and NVIDIA Nemotron 3 Super 120B A12B Base BF16 is —.
Do ERNIE X1.1 and NVIDIA Nemotron 3 Super 120B A12B Base BF16 support reasoning and tool use?+
ERNIE X1.1: reasoning and tool calling. NVIDIA Nemotron 3 Super 120B A12B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
ERNIE X1.1 has 1 sourced provider route; NVIDIA Nemotron 3 Super 120B A12B Base BF16 has 0, so ERNIE X1.1 has broader tracked availability.
Which offers better value, ERNIE X1.1 or NVIDIA Nemotron 3 Super 120B A12B 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.