Muse Spark 1.2 vs Ministral 3 14B Reasoning 2512

At a Glance

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Pricing and Limits
Context windowMaximum documented tokensNot reported262K
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 Spark 1.2Ministral-3-14B-Reasoning-2512
DeveloperMetaMistral AI
FamilyMuse SparkMinistral 3 14b Reasoning 2512
ModelMuse Spark 1.2Ministral-3-14B-Reasoning-2512
VersionMuse Spark 1.2Ministral-3-14B-Reasoning-2512
Lifecyclepreviewactive
Released2026-08-05Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image
Output modalitiesTextText
Context windowUnknown262K
Total parametersUnknown13.9B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessUnknownUnknown
Capabilitieschat, computer-use, generation, reasoning, research, structured_outputs, toolschat, generation, reasoning, tools

Muse Spark 1.2 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.2

Ministral 3 14B Reasoning 2512 Capabilities

chatgenerationreasoningtools
Serving providers0
Canonical IDmistralai/Ministral-3-14B-Reasoning-2512

Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.2 vs Ministral 3 14B Reasoning 2512 FAQs

Is Muse Spark 1.2 or Ministral 3 14B Reasoning 2512 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.2 and Ministral 3 14B Reasoning 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Spark 1.2 or Ministral 3 14B Reasoning 2512?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Muse Spark 1.2 or Ministral 3 14B Reasoning 2512?+

Neither model has a larger sourced context window in this comparison. Muse Spark 1.2 is — and Ministral 3 14B Reasoning 2512 is 262K.

Which performs better in benchmarks, Muse Spark 1.2 or Ministral 3 14B Reasoning 2512?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Muse Spark 1.2 or Ministral 3 14B Reasoning 2512 be self-hosted?+

Ministral 3 14B Reasoning 2512 is the only model in this pair currently marked as self-hostable. Muse Spark 1.2 is not marked open weight; Ministral 3 14B Reasoning 2512 is open weight.

Can Muse Spark 1.2 and Ministral 3 14B Reasoning 2512 understand images?+

Muse Spark 1.2 is documented with image input; Ministral 3 14B Reasoning 2512 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Spark 1.2 or Ministral 3 14B Reasoning 2512?+

Neither has a larger sourced maximum output. Muse Spark 1.2 is — and Ministral 3 14B Reasoning 2512 is —.

Do Muse Spark 1.2 and Ministral 3 14B Reasoning 2512 support reasoning and tool use?+

Muse Spark 1.2: reasoning, tool calling, and image input. Ministral 3 14B Reasoning 2512: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Spark 1.2 or Ministral 3 14B Reasoning 2512?+

Muse Spark 1.2 has 0 sourced provider routes; Ministral 3 14B Reasoning 2512 has 0, a tie.

Which offers better value, Muse Spark 1.2 or Ministral 3 14B Reasoning 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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