Model comparison
Muse Spark vs Soofi S 30B-A3B
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. Muse Spark and Soofi S 30B-A3B share 1 comparable benchmark result. 1 of 8 categories are comparable. 40 results are unique to Muse Spark; 7 to Soofi S 30B-A3B.
Updated July 15, 2026- Shared results
- 1
- Muse Spark only
- 40
- Soofi S 30B-A3B only
- 7
- Comparable categories
- 1 / 8
Pick Muse Spark if you want the stronger benchmark profile. Soofi S 30B-A3B only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
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
Muse Spark is clearly ahead on the provisional aggregate, 63 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in knowledge, where it averages 50.4 against 49.9.
Muse Spark is the reasoning model in the pair, while Soofi S 30B-A3B 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. Soofi S 30B-A3B gives you the larger context window at 1M, compared with 262K for Muse Spark.
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 | Muse Spark | Δ | Soofi S 30B-A3B |
|---|---|---|---|
| Knowledge | Muse Spark50.4 | Margin← 0.5 | Soofi S 30B-A3B49.9 |
| Agentic | Muse Spark59.0 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Coding | Muse Spark61.7 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Reasoning | Muse Spark42.5 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Math | Muse Spark32.9 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Multimodal | Muse Spark82.5 | MarginNo overlap | Soofi S 30B-A3BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Muse Spark | Soofi S 30B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Muse SparkNot available | Soofi S 30B-A3B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Muse SparkNot available | Soofi S 30B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Muse SparkNot available | Soofi S 30B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Muse Spark262K | Soofi S 30B-A3B1M | Soofi S 30B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Muse Spark | Soofi S 30B-A3B | Result |
|---|---|---|---|
| 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 | 1144 | — | Not comparable |
Coding8 benchmarks
| Benchmark | Muse Spark | Soofi S 30B-A3B | Result |
|---|---|---|---|
| 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 |
| Terminal-Bench HardSource | 45.5% | — | Not comparable |
| AA-SciCodeSource | 51.5% | — | Not comparable |
| HumanEvalSource | — | 73.8% | Not comparable |
Reasoning5 benchmarks
KnowledgeMuse Spark wins14 benchmarks
| Benchmark | Muse Spark | Soofi S 30B-A3B | Result |
|---|---|---|---|
| GPQA-DSource | 89.5% | 43.4% | 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 |
| GPQASource | — | 43.4% | Not comparable |
| MMLU-ProSource | — | 51.4% | Not comparable |
| AGIEvalSource | — | 66.9% | Not comparable |
Math3 benchmarks
Multimodal9 benchmarks
| Benchmark | Muse Spark | Soofi S 30B-A3B | Result |
|---|---|---|---|
| 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 |
| GDPval-AASource | 1444 | — | Not comparable |
| AA-MMMU-ProSource | 80.5% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Muse Spark | Soofi S 30B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Muse Spark or Soofi S 30B-A3B?
Muse Spark is ahead on BenchLM's provisional leaderboard, 63 to 45.
Which is better for knowledge tasks, Muse Spark or Soofi S 30B-A3B?
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 49.9. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
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