ERNIE X1.1 vs Inkling

At a Glance

Compare
InklingThinking Machines Lab
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#34 of 4645.4 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#18 of 44$0.090 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#28 of 3848.1 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.95Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokensNot reported$4.05Deepinfra · Sep 21, 2026
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 X1.1Inkling
DeveloperBaiduThinking Machines Lab
FamilyErnie X1Inkling
ModelERNIE X1.1Inkling
VersionERNIE X1.1Inkling
Lifecycleactiveactive
Released2025-09-262026-07-15
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesTextText
Context window66K1,049K
Total parametersUnknown975B
Active parametersUnknown41B
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesagents, chat, reasoning, search, toolsagents, chat, coding, generation, reasoning, tools, vision

ERNIE X1.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-x1.1

Inkling Capabilities

agentschatcodinggenerationreasoningtoolsvision
Serving providers4
Canonical IDthinkingmachines/Inkling

Primary Evidence

Sources and Freshness

Questions

ERNIE X1.1 vs Inkling FAQs

Is ERNIE X1.1 or Inkling better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE X1.1 or Inkling?+

ERNIE X1.1 is $1.00 and Inkling is $0.95 per million tokens, so Inkling is cheaper on this metric. ERNIE X1.1 is $4.00 and Inkling is $4.05 per million tokens, so ERNIE X1.1 is cheaper on this metric.

Which has a larger context window, ERNIE X1.1 or Inkling?+

Inkling has the larger sourced context window. ERNIE X1.1 supports 66K and Inkling supports 1,049K.

Which performs better in benchmarks, ERNIE X1.1 or Inkling?+

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 Inkling be self-hosted?+

Inkling is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; Inkling is open weight.

Can ERNIE X1.1 and Inkling understand images?+

ERNIE X1.1 is not documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE X1.1 or Inkling?+

Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and Inkling is —.

Do ERNIE X1.1 and Inkling support reasoning and tool use?+

ERNIE X1.1: reasoning and tool calling. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE X1.1 or Inkling?+

ERNIE X1.1 has 1 sourced provider route; Inkling has 4, so Inkling has broader tracked availability.

Which offers better value, ERNIE X1.1 or Inkling?+

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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