Muse Glimmer 30B vs Qwen3 Coder Flash
At a Glance
| Compare |  Muse Glimmer 30BMeta | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 21, 2026 | $0.195Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Deepinfra ↗ · Sep 21, 2026 | $0.975Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Sep 3, 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
Side-by-Side Facts
| Field | Muse Glimmer 30B | Qwen3 Coder Flash |
|---|---|---|
| Developer | Meta | Qwen |
| Family | Muse Glimmer | Qwen3 Coder |
| Model | Muse Glimmer 30B | Qwen3 Coder Flash |
| Version | Muse Glimmer 30B | Qwen3 Coder Flash |
| Lifecycle | active | active |
| Released | 2026-08-09 | 2025-07-28 |
| Knowledge cutoff | 2026-01-04 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| 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) | Alibaba Cloud Model Studio (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, generation, reasoning, structured_outputs, tools |
Muse Glimmer 30B Capabilities
Qwen3 Coder Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
Muse Glimmer 30B vs Qwen3 Coder Flash FAQs
Is Muse Glimmer 30B or Qwen3 Coder Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Qwen3 Coder Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Glimmer 30B or Qwen3 Coder Flash?+
Muse Glimmer 30B is $0.30 and Qwen3 Coder Flash is $0.195 per million tokens, so Qwen3 Coder Flash is cheaper on this metric. Muse Glimmer 30B is $1.20 and Qwen3 Coder Flash is $0.975 per million tokens, so Qwen3 Coder Flash is cheaper on this metric.
Which has a larger context window, Muse Glimmer 30B or Qwen3 Coder Flash?+
Qwen3 Coder Flash has the larger sourced context window. Muse Glimmer 30B supports 131K and Qwen3 Coder Flash supports 1,000K.
Which performs better in benchmarks, Muse Glimmer 30B or Qwen3 Coder Flash?+
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 Qwen3 Coder Flash be self-hosted?+
Muse Glimmer 30B is the only model in this pair currently marked as self-hostable. Muse Glimmer 30B is open weight; Qwen3 Coder Flash is not marked open weight.
Can Muse Glimmer 30B and Qwen3 Coder Flash understand images?+
Muse Glimmer 30B is documented with image input; Qwen3 Coder Flash is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Glimmer 30B or Qwen3 Coder Flash?+
Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Qwen3 Coder Flash is —.
Do Muse Glimmer 30B and Qwen3 Coder Flash support reasoning and tool use?+
Muse Glimmer 30B: reasoning, tool calling, and image input. Qwen3 Coder Flash: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Glimmer 30B or Qwen3 Coder Flash?+
Muse Glimmer 30B has 3 sourced provider routes; Qwen3 Coder Flash has 2, so Muse Glimmer 30B has broader tracked availability.
Which offers better value, Muse Glimmer 30B or Qwen3 Coder Flash?+
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.