Model comparison
Mellum2-12B-A2.5B-Instruct vs Muse Spark 1.1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mellum2-12B-A2.5B-Instruct unranked (Not scored); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Instruct and Muse Spark 1.1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Instruct; 39 to Muse Spark 1.1.
Updated July 23, 2026- Shared results
- 0
- Mellum2-12B-A2.5B-Instruct only
- 5
- Muse Spark 1.1 only
- 39
- Comparable categories
- 1 / 8
Treat this as a split decision. Mellum2-12B-A2.5B-Instruct makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Muse Spark 1.1 is the better fit if knowledge is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 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-Instruct and Muse Spark 1.1 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 1.1 is the reasoning model in the pair, while Mellum2-12B-A2.5B-Instruct is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Muse Spark 1.1 gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mellum2-12B-A2.5B-Instruct | Muse Spark 1.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-InstructNot available | Muse Spark 1.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-InstructNot available | Muse Spark 1.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-InstructNot available | Muse Spark 1.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Instruct128K | Muse Spark 1.11M | Muse Spark 1.1 lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | Muse Spark 1.1 | Result |
|---|---|---|---|
| BFCL v4Source | 44.2% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 80% | Not comparable |
| MCP AtlasSource | — | 88.1% | Not comparable |
| ToolathlonSource | — | 75.6% | Not comparable |
| OSWorld-VerifiedSource | — | 80.8% | Not comparable |
| DeepSearchQASource | — | 84.9% | Not comparable |
| CyberGymSource | — | 59.0% | Not comparable |
| Finance Agent v2Source | — | 57.2% | Not comparable |
| deepSweSource | — | 53.3% | Not comparable |
| OSWorld 2.0Source | — | 14.2% | Not comparable |
| JobBenchSource | — | 54.7% | Not comparable |
| CybenchSource | — | 92.9% | Not comparable |
| ExploitGymSource | — | 0.8% | Not comparable |
| AA Agentic IndexSource | — | 37.5% | Not comparable |
| GDPval-AASource | — | 43.7% | Not comparable |
| GDPval-AASource | — | 1374 | Not comparable |
| AA BriefcaseSource | — | 863 | Not comparable |
| AA AutomationBenchSource | — | 42.8% | Not comparable |
| AA Harvey LABSource | — | 93.1% | Not comparable |
| AA Tau3 BankingSource | — | 25.2% | Not comparable |
| aaTerminalBench21Source | — | 77.9% | Not comparable |
Coding4 benchmarks
Reasoning3 benchmarks
KnowledgeMuse Spark 1.1 wins12 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | Muse Spark 1.1 | Result |
|---|---|---|---|
| MMLU-ReduxSource | 78.1% | — | Not comparable |
| GPQASource | 40.9% | — | Not comparable |
| GPQA-DSource | 40.9% | — | Not comparable |
| HLESource | — | 62.1% | Not comparable |
| HLE w/o toolsSource | — | 52.2% | Not comparable |
| HealthBench ProfessionalSource | — | 59.3% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 50.6% | Not comparable |
| AA-GPQA DiamondSource | — | 89.8% | Not comparable |
| AA-HLESource | — | 45.1% | Not comparable |
| AA-Omniscience IndexSource | — | 18.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 40.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 38.1% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | Muse Spark 1.1 | Result |
|---|---|---|---|
| IFEvalSource | 75.8% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Mellum2-12B-A2.5B-Instruct or Muse Spark 1.1?
Mellum2-12B-A2.5B-Instruct and Muse Spark 1.1 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-Instruct or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 40.9. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.
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