Gemini 3.8 Flash Cyber vs Muse Glimmer 30B
At a Glance
| Compare |  Gemini 3.8 Flash CyberGoogle DeepMind |  Muse Glimmer 30BMeta |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.30Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $1.20Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | Not reported | 131K |
| Model facts checked | Sep 2, 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 | Gemini 3.8 Flash Cyber | Muse Glimmer 30B |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Muse Glimmer |
| Model | Gemini 3.8 Flash Cyber | Muse Glimmer 30B |
| Version | Gemini 3.8 Flash Cyber | Muse Glimmer 30B |
| Lifecycle | active | active |
| Released | 2026-09-02 | 2026-08-09 |
| Knowledge cutoff | Unknown | 2026-01-04 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 131K |
| Total parameters | Unknown | 29.8B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | No | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) |
| Capabilities | automated-patching, cybersecurity, reasoning, vulnerability-detection | chat, generation, reasoning, structured_outputs, tools |
Gemini 3.8 Flash Cyber Capabilities
Muse Glimmer 30B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash Cyber vs Muse Glimmer 30B FAQs
Is Gemini 3.8 Flash Cyber or Muse Glimmer 30B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and Muse Glimmer 30B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash Cyber or Muse Glimmer 30B?+
Only Muse Glimmer 30B has a directly sourced input price: $0.30 per million tokens. Only Muse Glimmer 30B has a directly sourced output price: $1.20 per million tokens.
Which has a larger context window, Gemini 3.8 Flash Cyber or Muse Glimmer 30B?+
Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and Muse Glimmer 30B is 131K.
Which performs better in benchmarks, Gemini 3.8 Flash Cyber or Muse Glimmer 30B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.8 Flash Cyber or Muse Glimmer 30B be self-hosted?+
Muse Glimmer 30B is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash Cyber is not marked open weight; Muse Glimmer 30B is open weight.
Can Gemini 3.8 Flash Cyber and Muse Glimmer 30B understand images?+
Gemini 3.8 Flash Cyber is not documented with image input; Muse Glimmer 30B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.8 Flash Cyber or Muse Glimmer 30B?+
Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and Muse Glimmer 30B is —.
Do Gemini 3.8 Flash Cyber and Muse Glimmer 30B support reasoning and tool use?+
Gemini 3.8 Flash Cyber: reasoning. Muse Glimmer 30B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.8 Flash Cyber or Muse Glimmer 30B?+
Gemini 3.8 Flash Cyber has 0 sourced provider routes; Muse Glimmer 30B has 3, so Muse Glimmer 30B has broader tracked availability.
Which offers better value, Gemini 3.8 Flash Cyber or Muse Glimmer 30B?+
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.