Granite 4.2 30B vs Muse Spark 1.2

Benchmark Performance

Available Benchmarks

BenchmarkGranite 4.2 30BMuse Spark 1.2
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,362.5592% of row best · rating · granite-4.2-30b; 95% CI [1351.93384890, 1373.17607017]; votes 3287; rank 1771,488.47100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.00612479, 1498.93408698]; votes 3244; rank 8
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
IBM · activeGranite 4.2 30BVerified Sep 2, 2026
Meta · previewMuse Spark 1.2Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGranite 4.2 30BMuse Spark 1.2
DeveloperIBMMeta
FamilyGranite 4 2Muse Spark
ModelGranite 4.2 30BMuse Spark 1.2
VersionGranite 4.2 30BMuse Spark 1.2
Lifecycleactivepreview
Released2026-08-252026-08-05
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesTextText
Context window131KUnknown
Total parameters29.3BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, computer-use, generation, reasoning, research, structured_outputs, tools

12 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Granite 4.2 30B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.16
Output price$0.65
Serving providers1
Canonical IDibm-granite/granite-4.2-30b

Muse Spark 1.2 Capabilities

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

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Granite 4.2 30B vs Muse Spark 1.2 FAQs

Is Granite 4.2 30B or Muse Spark 1.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 30B and Muse Spark 1.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.2 30B or Muse Spark 1.2?+

Only Granite 4.2 30B has a directly sourced input price: $0.16 per million tokens. Only Granite 4.2 30B has a directly sourced output price: $0.65 per million tokens.

Which has a larger context window, Granite 4.2 30B or Muse Spark 1.2?+

Neither model has a larger sourced context window in this comparison. Granite 4.2 30B is 131K and Muse Spark 1.2 is —.

Which performs better in benchmarks, Granite 4.2 30B or Muse Spark 1.2?+

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

Can Granite 4.2 30B or Muse Spark 1.2 be self-hosted?+

Granite 4.2 30B is the only model in this pair currently marked as self-hostable. Granite 4.2 30B is open weight; Muse Spark 1.2 is not marked open weight.

Can Granite 4.2 30B and Muse Spark 1.2 understand images?+

Granite 4.2 30B is not documented with image input; Muse Spark 1.2 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.2 30B or Muse Spark 1.2?+

Neither has a larger sourced maximum output. Granite 4.2 30B is — and Muse Spark 1.2 is —.

Do Granite 4.2 30B and Muse Spark 1.2 support reasoning and tool use?+

Granite 4.2 30B: reasoning and tool calling. Muse Spark 1.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.2 30B or Muse Spark 1.2?+

Granite 4.2 30B has 1 sourced provider route; Muse Spark 1.2 has 0, so Granite 4.2 30B has broader tracked availability.

Which offers better value, Granite 4.2 30B or Muse Spark 1.2?+

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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