Sonar vs Inkling

At a Glance

Compare
SonarPerplexity
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 tokens$1.00Openrouter · Sep 22, 2026$0.95Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$1.00Openrouter · Sep 22, 2026$4.05Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens128K1,049K
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

FieldSonarInkling
DeveloperPerplexityThinking Machines Lab
FamilySonarInkling
ModelSonarInkling
VersionSonarInkling
Lifecycleactiveactive
ReleasedUnknown2026-07-15
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesTextText
Context window128K1,049K
Total parametersUnknown975B
Active parametersUnknown41B
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessOpenrouter (Standard), Perplexity (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, citations, searchagents, chat, coding, generation, reasoning, tools, vision

Sonar Capabilities

chatcitationssearch
Serving providers2
Canonical IDperplexity/sonar

Inkling Capabilities

agentschatcodinggenerationreasoningtoolsvision
Serving providers4
Canonical IDthinkingmachines/Inkling

Primary Evidence

Sources and Freshness

Questions

Sonar vs Inkling FAQs

Is Sonar or Inkling better for coding?+

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

Which is cheaper, Sonar or Inkling?+

Sonar is $1.00 and Inkling is $0.95 per million tokens, so Inkling is cheaper on this metric. Sonar is $1.00 and Inkling is $4.05 per million tokens, so Sonar is cheaper on this metric.

Which has a larger context window, Sonar or Inkling?+

Inkling has the larger sourced context window. Sonar supports 128K and Inkling supports 1,049K.

Which performs better in benchmarks, Sonar or Inkling?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Sonar or Inkling be self-hosted?+

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

Can Sonar and Inkling understand images?+

Sonar 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, Sonar or Inkling?+

Neither has a larger sourced maximum output. Sonar is — and Inkling is —.

Do Sonar and Inkling support reasoning and tool use?+

Sonar: none of these features are definitively sourced. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Sonar or Inkling?+

Sonar has 2 sourced provider routes; Inkling has 4, so Inkling has broader tracked availability.

Which offers better value, Sonar 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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