Sonar vs Grok 4.20 Multi Agent

At a Glance

Compare
SonarPerplexity
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.00Openrouter · Sep 22, 2026$1.25Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$1.00Openrouter · Sep 22, 2026$2.50Xai · Sep 3, 2026
Context windowMaximum documented tokens128K1,000K
Model facts checkedAug 29, 2026View model evidence →Aug 29, 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

FieldSonarGrok 4.20 Multi-Agent
DeveloperPerplexityxAI
FamilySonarGrok 4 20
ModelSonarGrok 4.20 Multi-Agent
VersionSonarGrok 4.20 Multi-Agent
Lifecycleactivepreview
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window128K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenrouter (Standard), Perplexity (Standard)Xai (Standard)
Capabilitieschat, citations, searchgeneration, reasoning, research, tools

Sonar Capabilities

chatcitationssearch
Serving providers2
Canonical IDperplexity/sonar

Grok 4.20 Multi Agent Capabilities

generationreasoningresearchtools
Serving providers1
Canonical IDxai/grok-4.20-multi-agent-0309

Primary Evidence

Sources and Freshness

Questions

Sonar vs Grok 4.20 Multi Agent FAQs

Is Sonar or Grok 4.20 Multi Agent better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Sonar and Grok 4.20 Multi Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Sonar or Grok 4.20 Multi Agent?+

Sonar is $1.00 and Grok 4.20 Multi Agent is $1.25 per million tokens, so Sonar is cheaper on this metric. Sonar is $1.00 and Grok 4.20 Multi Agent is $2.50 per million tokens, so Sonar is cheaper on this metric.

Which has a larger context window, Sonar or Grok 4.20 Multi Agent?+

Grok 4.20 Multi Agent has the larger sourced context window. Sonar supports 128K and Grok 4.20 Multi Agent supports 1,000K.

Which performs better in benchmarks, Sonar or Grok 4.20 Multi Agent?+

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

Can Sonar or Grok 4.20 Multi Agent be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Sonar is not marked open weight; Grok 4.20 Multi Agent is not marked open weight.

Can Sonar and Grok 4.20 Multi Agent understand images?+

Sonar is not documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Sonar or Grok 4.20 Multi Agent?+

Neither has a larger sourced maximum output. Sonar is — and Grok 4.20 Multi Agent is —.

Do Sonar and Grok 4.20 Multi Agent support reasoning and tool use?+

Sonar: none of these features are definitively sourced. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Sonar or Grok 4.20 Multi Agent?+

Sonar has 2 sourced provider routes; Grok 4.20 Multi Agent has 1, so Sonar has broader tracked availability.

Which offers better value, Sonar or Grok 4.20 Multi Agent?+

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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