Model comparison
Muse Spark 1.1 vs Sakana Fugu-Ultra
Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Muse Spark 1.1 #6 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Muse Spark 1.1 and Sakana Fugu-Ultra share 5 comparable benchmark results. 4 of 8 categories are comparable. 34 results are unique to Muse Spark 1.1; 6 to Sakana Fugu-Ultra.
Updated July 23, 2026- Shared results
- 5
- Muse Spark 1.1 only
- 34
- Sakana Fugu-Ultra only
- 6
- Comparable categories
- 4 / 8
Treat this as a split decision. Muse Spark 1.1 makes more sense if multimodal & grounded is the priority; Sakana Fugu-Ultra is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 4 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 1.1 and Sakana Fugu-Ultra 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.
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 1.1 | Δ | Sakana Fugu-Ultra |
|---|---|---|---|
| Knowledge | Muse Spark 1.162.1 | Margin→ 33.4 | Sakana Fugu-Ultra95.5 |
| Coding | Muse Spark 1.161.5 | Margin→ 3.0 | Sakana Fugu-Ultra64.5 |
| Multimodal | Muse Spark 1.188.4 | Margin← 1.8 | Sakana Fugu-Ultra86.6 |
| Agentic | Muse Spark 1.180.4 | Margin→ 1.7 | Sakana Fugu-Ultra82.1 |
| Reasoning | Muse Spark 1.1Not measured | MarginNo overlap | Sakana Fugu-Ultra93.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 61.5%B 73.7%Winner: Sakana Fugu-UltraΔ 12.2SWE-bench Pro: Muse Spark 1.1 scored 61.5%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 80%B 82.1%Winner: Sakana Fugu-UltraΔ 2.1Terminal-Bench 2.0: Muse Spark 1.1 scored 80%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
CharXiv
MultimodalA 88.4%B 86.6%Winner: Muse Spark 1.1Δ 1.8CharXiv: Muse Spark 1.1 scored 88.4%; Sakana Fugu-Ultra scored 86.6%. 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 1.1 | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Muse Spark 1.1Not available | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Muse Spark 1.1Not available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Muse Spark 1.1Not available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Muse Spark 1.11M | Sakana Fugu-Ultra1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticSakana Fugu-Ultra wins20 benchmarks
| Benchmark | Muse Spark 1.1 | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80% | 82.1% | Sakana Fugu-Ultra leads |
| 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 |
CodingSakana Fugu-Ultra wins7 benchmarks
| Benchmark | Muse Spark 1.1 | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.0% | 82.1% | Sakana Fugu-Ultra leads |
| SWE-bench ProSource | 61.5% | 73.7% | Sakana Fugu-Ultra leads |
| AA Coding IndexSource | 71.3% | — | Not comparable |
| AA-SciCodeSource | 58.2% | — | Not comparable |
| LiveCodeBench v6Source | — | 93.2% | Not comparable |
| LiveCodeBench ProSource | — | 90.8% | Not comparable |
| SciCodeSource | — | 58.7% | Not comparable |
Reasoning4 benchmarks
KnowledgeSakana Fugu-Ultra wins11 benchmarks
| Benchmark | Muse Spark 1.1 | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| HLESource | 62.1% | — | Not comparable |
| HLE w/o toolsSource | 52.2% | 50% | Muse Spark 1.1 leads |
| 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 |
| GPQASource | — | 95.5% | Not comparable |
| GPQA-DSource | — | 95.5% | Not comparable |
Frequently Asked Questions (5)
Which is better, Muse Spark 1.1 or Sakana Fugu-Ultra?
Muse Spark 1.1 and Sakana Fugu-Ultra 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, Muse Spark 1.1 or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 62.1. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Which is better for coding, Muse Spark 1.1 or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for coding in this comparison, averaging 64.5 versus 61.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Muse Spark 1.1 or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 80.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Muse Spark 1.1 or Sakana Fugu-Ultra?
Muse Spark 1.1 has the edge for multimodal and grounded tasks in this comparison, averaging 88.4 versus 86.6. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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