Muse Glimmer 30B vs Ministral 3 14B Base 2512

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$1.20Deepinfra · Sep 22, 2026Not reported
Context windowMaximum documented tokens131K262K
Model facts checkedSep 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldMuse Glimmer 30BMinistral-3-14B-Base-2512
DeveloperMetaMistral AI
FamilyMuse GlimmerMinistral 3 14b Base 2512
ModelMuse Glimmer 30BMinistral-3-14B-Base-2512
VersionMuse Glimmer 30BMinistral-3-14B-Base-2512
Lifecycleactiveactive
Released2026-08-09Unknown
Knowledge cutoff2026-01-04Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window131K262K
Total parameters29.8B13.9B
Active parametersUnknownUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolsgeneration

Muse Glimmer 30B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers3
Canonical IDmeta-models/Muse-Glimmer-30B

Ministral 3 14B Base 2512 Capabilities

generation
Serving providers0
Canonical IDmistralai/Ministral-3-14B-Base-2512

Primary Evidence

Sources and Freshness

Questions

Muse Glimmer 30B vs Ministral 3 14B Base 2512 FAQs

Is Muse Glimmer 30B or Ministral 3 14B Base 2512 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Ministral 3 14B Base 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Glimmer 30B or Ministral 3 14B Base 2512?+

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 Ministral 3 14B Base 2512?+

Ministral 3 14B Base 2512 has the larger sourced context window. Muse Glimmer 30B supports 131K and Ministral 3 14B Base 2512 supports 262K.

Which performs better in benchmarks, Muse Glimmer 30B or Ministral 3 14B Base 2512?+

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 Ministral 3 14B Base 2512 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Muse Glimmer 30B is open weight; Ministral 3 14B Base 2512 is open weight.

Can Muse Glimmer 30B and Ministral 3 14B Base 2512 understand images?+

Muse Glimmer 30B is documented with image input; Ministral 3 14B Base 2512 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Glimmer 30B or Ministral 3 14B Base 2512?+

Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Ministral 3 14B Base 2512 is —.

Do Muse Glimmer 30B and Ministral 3 14B Base 2512 support reasoning and tool use?+

Muse Glimmer 30B: reasoning, tool calling, and image input. Ministral 3 14B Base 2512: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Glimmer 30B or Ministral 3 14B Base 2512?+

Muse Glimmer 30B has 3 sourced provider routes; Ministral 3 14B Base 2512 has 0, so Muse Glimmer 30B has broader tracked availability.

Which offers better value, Muse Glimmer 30B or Ministral 3 14B Base 2512?+

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.

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