Muse Spark 1.1 vs Sonar Deep Research

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$8.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,000K128K
Model facts checkedSep 3, 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

FieldMuse Spark 1.1Sonar Deep Research
DeveloperMetaPerplexity
FamilyMuse SparkSonar
ModelMuse Spark 1.1Sonar Deep Research
VersionMuse Spark 1.1Sonar Deep Research
Lifecyclepreviewactive
Released2026-07-09Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context window1,000K128K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessUnknownOpenrouter (Standard), Perplexity (Standard)
Capabilitieschat, computer-use, generation, reasoning, research, structured_outputs, toolschat, citations, reasoning, research, search

Muse Spark 1.1 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.1

Sonar Deep Research Capabilities

chatcitationsreasoningresearchsearch
Serving providers2
Canonical IDperplexity/sonar-deep-research

Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.1 vs Sonar Deep Research FAQs

Is Muse Spark 1.1 or Sonar Deep Research better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.1 and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Spark 1.1 or Sonar Deep Research?+

Only Sonar Deep Research has a directly sourced input price: $2.00 per million tokens. Only Sonar Deep Research has a directly sourced output price: $8.00 per million tokens.

Which has a larger context window, Muse Spark 1.1 or Sonar Deep Research?+

Muse Spark 1.1 has the larger sourced context window. Muse Spark 1.1 supports 1,000K and Sonar Deep Research supports 128K.

Which performs better in benchmarks, Muse Spark 1.1 or Sonar Deep Research?+

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

Can Muse Spark 1.1 or Sonar Deep Research be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.1 is not marked open weight; Sonar Deep Research is not marked open weight.

Can Muse Spark 1.1 and Sonar Deep Research understand images?+

Muse Spark 1.1 is documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Spark 1.1 or Sonar Deep Research?+

Neither has a larger sourced maximum output. Muse Spark 1.1 is — and Sonar Deep Research is —.

Do Muse Spark 1.1 and Sonar Deep Research support reasoning and tool use?+

Muse Spark 1.1: reasoning, tool calling, and image input. Sonar Deep Research: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Spark 1.1 or Sonar Deep Research?+

Muse Spark 1.1 has 0 sourced provider routes; Sonar Deep Research has 2, so Sonar Deep Research has broader tracked availability.

Which offers better value, Muse Spark 1.1 or Sonar Deep Research?+

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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