Olmo 3.1 32B Instruct vs Muse Spark 1.2

Benchmark Performance

Available Benchmarks

BenchmarkOlmo-3.1-32B-InstructMuse Spark 1.2
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,311.9088% of row best · rating · olmo-3.1-32b-instruct; 95% CI [1305.73447366, 1318.07100374]; votes 11463; rank 2231,488.47100% 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
Ai2 · activeOlmo 3.1 32B InstructVerified Aug 28, 2026
Meta · previewMuse Spark 1.2Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldOlmo-3.1-32B-InstructMuse Spark 1.2
DeveloperAi2Meta
FamilyOlmo 3 1 32b InstructMuse Spark
ModelOlmo-3.1-32B-InstructMuse Spark 1.2
VersionOlmo-3.1-32B-InstructMuse Spark 1.2
Lifecycleactivepreview
ReleasedUnknown2026-08-05
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesTextText
Context window66KUnknown
Total parameters32.2BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownUnknown
Capabilitieschat, generation, toolschat, computer-use, generation, reasoning, research, structured_outputs, tools

10 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Olmo 3.1 32B Instruct Capabilities

chatgenerationtools
Input price
Output price
Serving providers0
Canonical IDallenai/Olmo-3.1-32B-Instruct

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

Olmo 3.1 32B Instruct vs Muse Spark 1.2 FAQs

Is Olmo 3.1 32B Instruct or Muse Spark 1.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and Muse Spark 1.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3.1 32B Instruct or Muse Spark 1.2?+

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, Olmo 3.1 32B Instruct or Muse Spark 1.2?+

Neither model has a larger sourced context window in this comparison. Olmo 3.1 32B Instruct is 66K and Muse Spark 1.2 is —.

Which performs better in benchmarks, Olmo 3.1 32B Instruct 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 Olmo 3.1 32B Instruct or Muse Spark 1.2 be self-hosted?+

Olmo 3.1 32B Instruct is the only model in this pair currently marked as self-hostable. Olmo 3.1 32B Instruct is open weight; Muse Spark 1.2 is not marked open weight.

Can Olmo 3.1 32B Instruct and Muse Spark 1.2 understand images?+

Olmo 3.1 32B Instruct 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, Olmo 3.1 32B Instruct or Muse Spark 1.2?+

Neither has a larger sourced maximum output. Olmo 3.1 32B Instruct is 33K and Muse Spark 1.2 is —.

Do Olmo 3.1 32B Instruct and Muse Spark 1.2 support reasoning and tool use?+

Olmo 3.1 32B Instruct: 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, Olmo 3.1 32B Instruct or Muse Spark 1.2?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; Muse Spark 1.2 has 0, a tie.

Which offers better value, Olmo 3.1 32B Instruct 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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