Muse Spark 1.2 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 tokensNot reported128K
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 1.2Sonar Deep Research
DeveloperMetaPerplexity
FamilyMuse SparkSonar
ModelMuse Spark 1.2Sonar Deep Research
VersionMuse Spark 1.2Sonar Deep Research
Lifecyclepreviewactive
Released2026-08-05Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context windowUnknown128K
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 1.2 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.2

Sonar Deep Research Capabilities

chatcitationsreasoningresearchsearch
Serving providers2
Canonical IDperplexity/sonar-deep-research

Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.2 vs Sonar Deep Research FAQs

Is Muse Spark 1.2 or Sonar Deep Research better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.2 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 1.2 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 1.2 or Sonar Deep Research?+

Neither model has a larger sourced context window in this comparison. Muse Spark 1.2 is — and Sonar Deep Research is 128K.

Which performs better in benchmarks, Muse Spark 1.2 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 1.2 or Sonar Deep Research be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.2 is not marked open weight; Sonar Deep Research is not marked open weight.

Can Muse Spark 1.2 and Sonar Deep Research understand images?+

Muse Spark 1.2 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 1.2 or Sonar Deep Research?+

Neither has a larger sourced maximum output. Muse Spark 1.2 is — and Sonar Deep Research is —.

Do Muse Spark 1.2 and Sonar Deep Research support reasoning and tool use?+

Muse Spark 1.2: 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 1.2 or Sonar Deep Research?+

Muse Spark 1.2 has 0 sourced provider routes; Sonar Deep Research has 2, so Sonar Deep Research has broader tracked availability.

Which offers better value, Muse Spark 1.2 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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