Muse Glimmer 30B vs Sonar Deep Research
At a Glance
| Compare | Muse Glimmer 30BMeta | Sonar Deep ResearchPerplexity |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 22, 2026 | $2.00Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Deepinfra ↗ · Sep 22, 2026 | $8.00Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 128K |
| Model facts checked | Sep 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
Side-by-Side Facts
| Field | Muse Glimmer 30B | Sonar Deep Research |
|---|---|---|
| Developer | Meta | Perplexity |
| Family | Muse Glimmer | Sonar |
| Model | Muse Glimmer 30B | Sonar Deep Research |
| Version | Muse Glimmer 30B | Sonar Deep Research |
| Lifecycle | active | active |
| Released | 2026-08-09 | Unknown |
| Knowledge cutoff | 2026-01-04 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 128K |
| Total parameters | 29.8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, citations, reasoning, research, search |
Muse Glimmer 30B Capabilities
Sonar Deep Research Capabilities
Primary Evidence
Sources and Freshness
Questions
Muse Glimmer 30B vs Sonar Deep Research FAQs
Is Muse Glimmer 30B or Sonar Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Glimmer 30B or Sonar Deep Research?+
Muse Glimmer 30B is $0.30 and Sonar Deep Research is $2.00 per million tokens, so Muse Glimmer 30B is cheaper on this metric. Muse Glimmer 30B is $1.20 and Sonar Deep Research is $8.00 per million tokens, so Muse Glimmer 30B is cheaper on this metric.
Which has a larger context window, Muse Glimmer 30B or Sonar Deep Research?+
Muse Glimmer 30B has the larger sourced context window. Muse Glimmer 30B supports 131K and Sonar Deep Research supports 128K.
Which performs better in benchmarks, Muse Glimmer 30B 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 Glimmer 30B or Sonar Deep Research be self-hosted?+
Muse Glimmer 30B is the only model in this pair currently marked as self-hostable. Muse Glimmer 30B is open weight; Sonar Deep Research is not marked open weight.
Can Muse Glimmer 30B and Sonar Deep Research understand images?+
Muse Glimmer 30B 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 Glimmer 30B or Sonar Deep Research?+
Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Sonar Deep Research is —.
Do Muse Glimmer 30B and Sonar Deep Research support reasoning and tool use?+
Muse Glimmer 30B: 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 Glimmer 30B or Sonar Deep Research?+
Muse Glimmer 30B has 3 sourced provider routes; Sonar Deep Research has 2, so Muse Glimmer 30B has broader tracked availability.
Which offers better value, Muse Glimmer 30B 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.