Muse Glimmer 30B vs Codestral 22B v0.1
At a Glance
| Compare |  Muse Glimmer 30BMeta |  Codestral 22B v0.1Mistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #39 of 5712.8 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 4.3–70.9 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.20Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Context windowMaximum documented tokens | 131K | 33K |
| 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 | Codestral-22B-v0.1 |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Muse Glimmer | Codestral 22b V0 1 |
| Model | Muse Glimmer 30B | Codestral-22B-v0.1 |
| Version | Muse Glimmer 30B | Codestral-22B-v0.1 |
| 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 | 33K |
| Total parameters | 29.8B | 22.2B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | generation |
Muse Glimmer 30B Capabilities
Codestral 22B v0.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Muse Glimmer 30B vs Codestral 22B v0.1 FAQs
Is Muse Glimmer 30B or Codestral 22B v0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Glimmer 30B or Codestral 22B v0.1?+
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, Muse Glimmer 30B or Codestral 22B v0.1?+
Muse Glimmer 30B has the larger sourced context window. Muse Glimmer 30B supports 131,072 tokens and Codestral 22B v0.1 supports 32,768 tokens.
Which performs better in benchmarks, Muse Glimmer 30B or Codestral 22B v0.1?+
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 Codestral 22B v0.1 be self-hosted?+
Both models have the same sourced self-hosting status: supported. Muse Glimmer 30B is open weight; Codestral 22B v0.1 is open weight.
Can Muse Glimmer 30B and Codestral 22B v0.1 understand images?+
Muse Glimmer 30B is documented with image input; Codestral 22B v0.1 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Glimmer 30B or Codestral 22B v0.1?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Muse Glimmer 30B and Codestral 22B v0.1 support reasoning and tool use?+
Muse Glimmer 30B: reasoning, tool calling, and image input. Codestral 22B v0.1: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Glimmer 30B or Codestral 22B v0.1?+
Muse Glimmer 30B has 3 sourced provider routes; Codestral 22B v0.1 has 0, so Muse Glimmer 30B has broader tracked availability.
Which offers better value, Muse Glimmer 30B or Codestral 22B v0.1?+
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.