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Model comparison

Mellum2-12B-A2.5B-Thinking vs Muse Spark

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
71.04/100
1 category wins0 category wins

Public leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked (Not scored); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Mellum2-12B-A2.5B-Thinking and Muse Spark share 1 comparable benchmark result. 1 of 8 categories are comparable. 4 results are unique to Mellum2-12B-A2.5B-Thinking; 38 to Muse Spark.

Updated July 23, 2026
Shared results
1
Mellum2-12B-A2.5B-Thinking only
4
Muse Spark only
38
Comparable categories
1 / 8

Treat this as a split decision. Mellum2-12B-A2.5B-Thinking makes more sense if knowledge is the priority; Muse Spark is the better fit if you need the larger 262K context window.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Mellum2-12B-A2.5B-Thinking and Muse Spark finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Muse Spark gives you the larger context window at 262K, compared with 128K for Mellum2-12B-A2.5B-Thinking.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Mellum2-12B-A2.5B-Thinking and Muse Spark
CategoryMellum2-12B-A2.5B-ThinkingΔMuse Spark
KnowledgeMellum2-12B-A2.5B-Thinking57.6Margin 7.2Muse Spark50.4
AgenticMellum2-12B-A2.5B-ThinkingNot measuredMarginNo overlapMuse Spark59.0
CodingMellum2-12B-A2.5B-ThinkingNot measuredMarginNo overlapMuse Spark67.8
ReasoningMellum2-12B-A2.5B-ThinkingNot measuredMarginNo overlapMuse Spark42.5
MathMellum2-12B-A2.5B-ThinkingNot measuredMarginNo overlapMuse Spark32.9
MultimodalMellum2-12B-A2.5B-ThinkingNot measuredMarginNo overlapMuse Spark82.5
Inst. FollowingMellum2-12B-A2.5B-Thinking76.5MarginNo overlapMuse SparkNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricMellum2-12B-A2.5B-ThinkingMuse SparkComparison
Input / output priceUSD per 1M tokensMellum2-12B-A2.5B-ThinkingNot availableMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondMellum2-12B-A2.5B-ThinkingNot availableMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMellum2-12B-A2.5B-ThinkingNot availableMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMellum2-12B-A2.5B-Thinking128KMuse Spark262KMuse Spark lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
BFCL v4Source 45.6%Not comparable
Terminal-Bench 2.0Source 59%Not comparable
τ²-bench resultsSource 91.5%Not comparable
DeepSearchQASource 74.8%Not comparable
CyberGymSource 43.5%Not comparable
Claw-EvalSource 63.8%Not comparable
AA Agentic IndexSource 28.7%Not comparable
GDPval-AASource 32.2%Not comparable
GDPval-AASource 1144Not comparable
Coding
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
SWE-bench VerifiedSource 77.4%Not comparable
SWE-bench ProSource 52.4%Not comparable
LiveCodeBench ProSource 80.0%Not comparable
Vibe Code BenchSource 19.67%Not comparable
AA Coding IndexSource 58.6%Not comparable
AA-SciCodeSource 51.5%Not comparable
Reasoning
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
ARC-AGI-2Source 42.5%Not comparable
AA-LCRSource 69.7%Not comparable
CritPtSource 11.3%Not comparable
KnowledgeMellum2-12B-A2.5B-Thinking wins
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
MMLU-ReduxSource 86.2%Not comparable
GPQASource 57.6%Not comparable
GPQA-DSource 57.6%89.5%Muse Spark leads
HLESource 50.4%Not comparable
HLE w/o toolsSource 42.8%Not comparable
HealthBench HardSource 42.8%Not comparable
MedXpertQA (Text)Source 52.6%Not comparable
Artificial Analysis Intelligence IndexSource 43.1%Not comparable
AA-GPQA DiamondSource 88.4%Not comparable
AA-HLESource 39.9%Not comparable
AA-Omniscience IndexSource 4.1%Not comparable
AA-Omniscience AccuracySource 44.6%Not comparable
AA-Omniscience Hallucination RateSource 73.2%Not comparable
Math
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
FrontierMath v2 (Tiers 1-3)Source 39.000%Not comparable
FrontierMath v2 (Tier 4)Source 14.600%Not comparable
Multimodal
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
CharXivSource 86.4%Not comparable
MMMU-ProSource 80.4%Not comparable
ERQASource 64.7%Not comparable
SimpleVQASource 71.3%Not comparable
ScreenSpot ProSource 84.1%Not comparable
ZeroBenchSource 33.0%Not comparable
MedXpertQA (MM)Source 78.4%Not comparable
AA-MMMU-ProSource 80.5%Not comparable
Inst. Following
BenchmarkMellum2-12B-A2.5B-ThinkingMuse SparkResult
IFEvalSource 76.5%Not comparable
AA-IFBenchSource 75.9%Not comparable
Frequently Asked Questions (2)

Which is better, Mellum2-12B-A2.5B-Thinking or Muse Spark?

Mellum2-12B-A2.5B-Thinking and Muse Spark are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, Mellum2-12B-A2.5B-Thinking or Muse Spark?

Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 50.4. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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