Model comparison
Muse Spark vs Muse Spark 1.1
Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Sibling matchup inside the Muse Spark family.
Public leaderboard positions: Muse Spark #13 (Supported); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Muse Spark and Muse Spark 1.1 share 20 comparable benchmark results. 4 of 8 categories are comparable. 19 results are unique to Muse Spark; 19 to Muse Spark 1.1.
Updated July 23, 2026- Shared results
- 20
- Muse Spark only
- 19
- Muse Spark 1.1 only
- 19
- Comparable categories
- 4 / 8
Muse Spark makes more sense if coding is the priority, while Muse Spark 1.1 is the cleaner fit if agentic is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 evidence categories; 4 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 and Muse Spark 1.1 sit in the same Muse Spark family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Muse Spark 1.1 is clearly ahead on the BenchAlign aggregate, 77.44 to 71.04. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark 1.1's sharpest advantage is in agentic, where it averages 80.4 against 59. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59% to 80%. Muse Spark does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Muse Spark 1.1 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 | Muse Spark 1.1 |
|---|---|---|---|
| Agentic | Muse Spark59.0 | Margin→ 21.4 | Muse Spark 1.180.4 |
| Knowledge | Muse Spark50.4 | Margin→ 11.7 | Muse Spark 1.162.1 |
| Coding | Muse Spark67.8 | Margin← 6.3 | Muse Spark 1.161.5 |
| Multimodal | Muse Spark82.5 | Margin→ 5.9 | Muse Spark 1.188.4 |
| Reasoning | Muse Spark42.5 | MarginNo overlap | Muse Spark 1.1Not measured |
| Math | Muse Spark32.9 | MarginNo overlap | Muse Spark 1.1Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 59%B 80%Winner: Muse Spark 1.1Δ 21Terminal-Bench 2.0: Muse Spark scored 59%; Muse Spark 1.1 scored 80%. Muse Spark 1.1 wins this benchmark. - Source ↗
HLE
KnowledgeA 50.4%B 62.1%Winner: Muse Spark 1.1Δ 11.7HLE: Muse Spark scored 50.4%; Muse Spark 1.1 scored 62.1%. Muse Spark 1.1 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 52.4%B 61.5%Winner: Muse Spark 1.1Δ 9.1SWE-bench Pro: Muse Spark scored 52.4%; Muse Spark 1.1 scored 61.5%. Muse Spark 1.1 wins this benchmark. - Source ↗
CharXiv
MultimodalA 86.4%B 88.4%Winner: Muse Spark 1.1Δ 2CharXiv: Muse Spark scored 86.4%; Muse Spark 1.1 scored 88.4%. Muse Spark 1.1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Muse Spark | Muse Spark 1.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Muse SparkNot available | Muse Spark 1.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Muse SparkNot available | Muse Spark 1.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Muse SparkNot available | Muse Spark 1.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Muse Spark262K | Muse Spark 1.11M | Muse Spark 1.1 lists the larger context window. |
Benchmark Deep Dive
AgenticMuse Spark 1.1 wins22 benchmarks
| Benchmark | Muse Spark | Muse Spark 1.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59% | 80% | Muse Spark 1.1 leads |
| τ²-bench resultsSource | 91.5% | — | Not comparable |
| DeepSearchQASource | 74.8% | 84.9% | Muse Spark 1.1 leads |
| CyberGymSource | 43.5% | 59.0% | Muse Spark 1.1 leads |
| Claw-EvalSource | 63.8% | — | Not comparable |
| AA Agentic IndexSource | 28.7% | 37.5% | Muse Spark 1.1 leads |
| GDPval-AASource | 32.2% | 43.7% | Muse Spark 1.1 leads |
| GDPval-AASource | 1144 | 1374 | Muse Spark 1.1 leads |
| MCP AtlasSource | — | 88.1% | Not comparable |
| ToolathlonSource | — | 75.6% | Not comparable |
| OSWorld-VerifiedSource | — | 80.8% | 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 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 |
CodingMuse Spark wins7 benchmarks
| Benchmark | Muse Spark | Muse Spark 1.1 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.4% | — | Not comparable |
| SWE-bench ProSource | 52.4% | 61.5% | Muse Spark 1.1 leads |
| LiveCodeBench ProSource | 80.0% | — | Not comparable |
| Vibe Code BenchSource | 19.67% | — | Not comparable |
| AA Coding IndexSource | 58.6% | 71.3% | Muse Spark 1.1 leads |
| AA-SciCodeSource | 51.5% | 58.2% | Muse Spark 1.1 leads |
| Terminal-Bench 2.0Source | — | 80.0% | Not comparable |
Reasoning4 benchmarks
KnowledgeMuse Spark 1.1 wins12 benchmarks
| Benchmark | Muse Spark | Muse Spark 1.1 | Result |
|---|---|---|---|
| GPQA-DSource | 89.5% | — | Not comparable |
| HLESource | 50.4% | 62.1% | Muse Spark 1.1 leads |
| HLE w/o toolsSource | 42.8% | 52.2% | Muse Spark 1.1 leads |
| HealthBench HardSource | 42.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 43.1% | 50.6% | Muse Spark 1.1 leads |
| AA-GPQA DiamondSource | 88.4% | 89.8% | Muse Spark 1.1 leads |
| AA-HLESource | 39.9% | 45.1% | Muse Spark 1.1 leads |
| AA-Omniscience IndexSource | 4.1% | 18.0% | Muse Spark 1.1 leads |
| AA-Omniscience AccuracySource | 44.6% | 40.6% | Muse Spark leads |
| AA-Omniscience Hallucination RateSource | 73.2% | 38.1% | Muse Spark 1.1 leads |
| HealthBench ProfessionalSource | — | 59.3% | Not comparable |
Math2 benchmarks
MultimodalMuse Spark 1.1 wins10 benchmarks
| Benchmark | Muse Spark | Muse Spark 1.1 | Result |
|---|---|---|---|
| CharXivSource | 86.4% | 88.4% | Muse Spark 1.1 leads |
| 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 |
| BabyVisionSource | — | 76.3% | Not comparable |
| Design Arena WebsiteSource | — | 1299 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Muse Spark | Muse Spark 1.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | — | Not comparable |
Frequently Asked Questions (5)
Which is better, Muse Spark or Muse Spark 1.1?
Muse Spark and Muse Spark 1.1 are sibling variants in the Muse Spark family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Muse Spark 1.1 is ahead on BenchLM's BenchAlign leaderboard 77.44 to 71.04.
Which is better for knowledge tasks, Muse Spark or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 50.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Muse Spark or Muse Spark 1.1?
Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 61.5. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Muse Spark or Muse Spark 1.1?
Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Muse Spark or Muse Spark 1.1?
Muse Spark 1.1 has the edge for multimodal and grounded tasks in this comparison, averaging 88.4 versus 82.5. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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