Muse Glimmer 30B vs Kimi K2 Thinking
At a Glance
| Compare |  Muse Glimmer 30BMeta |  Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 21, 2026 | $0.60Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Deepinfra ↗ · Sep 21, 2026 | $2.50Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 262K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 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 | Kimi-K2-Thinking |
|---|---|---|
| Developer | Meta | Moonshot AI |
| Family | Muse Glimmer | Kimi K2 Thinking |
| Model | Muse Glimmer 30B | Kimi-K2-Thinking |
| Version | Muse Glimmer 30B | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | 2026-08-09 | 2025-11-06 |
| Knowledge cutoff | 2026-01-04 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 29.8B | 1T |
| Active parameters | Unknown | 32B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
Muse Glimmer 30B Capabilities
Kimi K2 Thinking Capabilities
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Primary Evidence
Sources and Freshness
Questions
Muse Glimmer 30B vs Kimi K2 Thinking FAQs
Is Muse Glimmer 30B or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Glimmer 30B or Kimi K2 Thinking?+
Muse Glimmer 30B is $0.30 and Kimi K2 Thinking is $0.60 per million tokens, so Muse Glimmer 30B is cheaper on this metric. Muse Glimmer 30B is $1.20 and Kimi K2 Thinking is $2.50 per million tokens, so Muse Glimmer 30B is cheaper on this metric.
Which has a larger context window, Muse Glimmer 30B or Kimi K2 Thinking?+
Kimi K2 Thinking has the larger sourced context window. Muse Glimmer 30B supports 131K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, Muse Glimmer 30B or Kimi K2 Thinking?+
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 Kimi K2 Thinking be self-hosted?+
Both models have the same recorded self-hosting status: supported. Muse Glimmer 30B is open weight; Kimi K2 Thinking is open weight.
Can Muse Glimmer 30B and Kimi K2 Thinking understand images?+
Muse Glimmer 30B is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Glimmer 30B or Kimi K2 Thinking?+
Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Kimi K2 Thinking is 131K.
Do Muse Glimmer 30B and Kimi K2 Thinking support reasoning and tool use?+
Muse Glimmer 30B: reasoning, tool calling, and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Glimmer 30B or Kimi K2 Thinking?+
Muse Glimmer 30B has 3 sourced provider routes; Kimi K2 Thinking has 2, so Muse Glimmer 30B has broader tracked availability.
Which offers better value, Muse Glimmer 30B or Kimi K2 Thinking?+
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.