Muse Glimmer 30B vs Ministral 8B Instruct 2410

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Deepinfra · Sep 23, 2026Not reported
Output priceFrom · USD / 1M tokens$1.20Deepinfra · Sep 23, 2026Not reported
Context windowMaximum documented tokens131K33K
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-8B-Instruct-2410
DeveloperMetaMistral AI
FamilyMuse GlimmerMinistral 8b Instruct 2410
ModelMuse Glimmer 30BMinistral-8B-Instruct-2410
VersionMuse Glimmer 30BMinistral-8B-Instruct-2410
Lifecycleactiveactive
Released2026-08-09Unknown
Knowledge cutoff2026-01-04Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window131K33K
Total parameters29.8B8B
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, tools

Muse Glimmer 30B Capabilities

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

Ministral 8B Instruct 2410 Capabilities

chatgenerationtools
Serving providers0
Canonical IDmistralai/Ministral-8B-Instruct-2410

Primary Evidence

Sources and Freshness

Questions

Muse Glimmer 30B vs Ministral 8B Instruct 2410 FAQs

Is Muse Glimmer 30B or Ministral 8B Instruct 2410 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Ministral 8B Instruct 2410, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Glimmer 30B or Ministral 8B Instruct 2410?+

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 8B Instruct 2410?+

Muse Glimmer 30B has the larger sourced context window. Muse Glimmer 30B supports 131K and Ministral 8B Instruct 2410 supports 33K.

Which performs better in benchmarks, Muse Glimmer 30B or Ministral 8B Instruct 2410?+

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 8B Instruct 2410 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Muse Glimmer 30B is open weight; Ministral 8B Instruct 2410 is open weight.

Can Muse Glimmer 30B and Ministral 8B Instruct 2410 understand images?+

Muse Glimmer 30B is documented with image input; Ministral 8B Instruct 2410 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Glimmer 30B or Ministral 8B Instruct 2410?+

Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Ministral 8B Instruct 2410 is —.

Do Muse Glimmer 30B and Ministral 8B Instruct 2410 support reasoning and tool use?+

Muse Glimmer 30B: reasoning, tool calling, and image input. Ministral 8B Instruct 2410: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Glimmer 30B or Ministral 8B Instruct 2410?+

Muse Glimmer 30B has 3 sourced provider routes; Ministral 8B Instruct 2410 has 0, so Muse Glimmer 30B has broader tracked availability.

Which offers better value, Muse Glimmer 30B or Ministral 8B Instruct 2410?+

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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