ERNIE X1.1 vs NVIDIA Nemotron 3.5 Lightning 30B A3B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens66K1,049K
Model facts checkedAug 29, 2026View model evidence →Sep 3, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldERNIE X1.1NVIDIA Nemotron 3.5 Lightning 30B-A3B
DeveloperBaiduNVIDIA
FamilyErnie X1Nvidia Nemotron 3 5 Lightning
ModelERNIE X1.1NVIDIA Nemotron 3.5 Lightning 30B-A3B
VersionERNIE X1.1NVIDIA Nemotron 3.5 Lightning 30B-A3B
Lifecycleactiveactive
Released2025-09-262026-08-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K1,049K
Total parametersUnknown30B
Active parametersUnknown3B
LicenseUnknownopenmdw-1.1
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Fireworks Ai (Standard)
Capabilitiesagents, chat, reasoning, search, toolsagents, chat, generation, reasoning, tools

ERNIE X1.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-x1.1

NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities

agentschatgenerationreasoningtools
Serving providers1
Canonical IDnvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Primary Evidence

Sources and Freshness

Questions

ERNIE X1.1 vs NVIDIA Nemotron 3.5 Lightning 30B A3B FAQs

Is ERNIE X1.1 or NVIDIA Nemotron 3.5 Lightning 30B A3B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and NVIDIA Nemotron 3.5 Lightning 30B A3B, 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 3.5 Lightning 30B A3B?+

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 3.5 Lightning 30B A3B?+

NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. ERNIE X1.1 supports 66K and NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K.

Which performs better in benchmarks, ERNIE X1.1 or NVIDIA Nemotron 3.5 Lightning 30B A3B?+

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 3.5 Lightning 30B A3B be self-hosted?+

NVIDIA Nemotron 3.5 Lightning 30B A3B is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight.

Can ERNIE X1.1 and NVIDIA Nemotron 3.5 Lightning 30B A3B understand images?+

ERNIE X1.1 is not documented with image input; NVIDIA Nemotron 3.5 Lightning 30B A3B 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 3.5 Lightning 30B A3B?+

Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and NVIDIA Nemotron 3.5 Lightning 30B A3B is —.

Do ERNIE X1.1 and NVIDIA Nemotron 3.5 Lightning 30B A3B support reasoning and tool use?+

ERNIE X1.1: reasoning and tool calling. NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE X1.1 or NVIDIA Nemotron 3.5 Lightning 30B A3B?+

ERNIE X1.1 has 1 sourced provider route; NVIDIA Nemotron 3.5 Lightning 30B A3B has 1, a tie.

Which offers better value, ERNIE X1.1 or NVIDIA Nemotron 3.5 Lightning 30B A3B?+

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.

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