Model comparison
GPT-5.5 vs Muse Spark 1.1
Head-to-head evidence from 31 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 #9 (Estimated); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 and Muse Spark 1.1 share 31 comparable benchmark results. 4 of 8 categories are comparable. 26 results are unique to GPT-5.5; 8 to Muse Spark 1.1.
Updated July 23, 2026- Shared results
- 31
- GPT-5.5 only
- 26
- Muse Spark 1.1 only
- 8
- Comparable categories
- 4 / 8
Pick Muse Spark 1.1 if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 31 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 1.1 is clearly ahead on the BenchAlign aggregate, 77.44 to 73.51. 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 multimodal & grounded, where it averages 88.4 against 70.4. The single biggest benchmark swing on the page is HLE, 52.2% to 62.1%. GPT-5.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
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 | GPT-5.5 | Δ | Muse Spark 1.1 |
|---|---|---|---|
| Multimodal | GPT-5.570.4 | Margin→ 18.0 | Muse Spark 1.188.4 |
| Knowledge | GPT-5.557.8 | Margin→ 4.3 | Muse Spark 1.162.1 |
| Coding | GPT-5.558.6 | Margin→ 2.9 | Muse Spark 1.161.5 |
| Agentic | GPT-5.581.6 | Margin← 1.2 | Muse Spark 1.180.4 |
| Reasoning | GPT-5.585.0 | MarginNo overlap | Muse Spark 1.1Not measured |
| Math | GPT-5.547.6 | MarginNo overlap | Muse Spark 1.1Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 52.2%B 62.1%Winner: Muse Spark 1.1Δ 9.9HLE: GPT-5.5 scored 52.2%; Muse Spark 1.1 scored 62.1%. Muse Spark 1.1 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 58.6%B 61.5%Winner: Muse Spark 1.1Δ 2.9SWE-bench Pro: GPT-5.5 scored 58.6%; Muse Spark 1.1 scored 61.5%. Muse Spark 1.1 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 78.7%B 80.8%Winner: Muse Spark 1.1Δ 2.1OSWorld-Verified: GPT-5.5 scored 78.7%; Muse Spark 1.1 scored 80.8%. Muse Spark 1.1 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 82%B 80%Winner: GPT-5.5Δ 2Terminal-Bench 2.0: GPT-5.5 scored 82%; Muse Spark 1.1 scored 80%. GPT-5.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 | Muse Spark 1.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$5 input / $30 output | Muse Spark 1.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5Not available | Muse Spark 1.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | Muse Spark 1.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | Muse Spark 1.11M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.5 wins28 benchmarks
| Benchmark | GPT-5.5 | Muse Spark 1.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 82% | 80% | GPT-5.5 leads |
| CyberGymSource | 81.8% | 59.0% | GPT-5.5 leads |
| BrowseCompSource | 84.4% | — | Not comparable |
| OSWorld-VerifiedSource | 78.7% | 80.8% | Muse Spark 1.1 leads |
| MCP AtlasSource | 75.3% | 88.1% | Muse Spark 1.1 leads |
| ToolathlonSource | 55.6% | 75.6% | Muse Spark 1.1 leads |
| τ²-bench resultsSource | 93.9% | — | Not comparable |
| AA Agentic IndexSource | 44.9% | 37.5% | GPT-5.5 leads |
| APEX-Agents-AASource | 37.7% | — | Not comparable |
| GDPval-AASource | 49.5% | 43.7% | GPT-5.5 leads |
| GDPval-AASource | 1490 | 1374 | GPT-5.5 leads |
| Gert LabsSource | 72.93% | — | Not comparable |
| ResearchClawBenchSource | 17.0% | — | Not comparable |
| OSWorld 2.0Source | 13.0% | 14.2% | Muse Spark 1.1 leads |
| JobBenchSource | 42.7% | 54.7% | Muse Spark 1.1 leads |
| ExploitGymSource | 13.4% | 0.8% | GPT-5.5 leads |
| AA BriefcaseSource | 1154 | 863 | GPT-5.5 leads |
| AA AutomationBenchSource | 42.1% | 42.8% | Muse Spark 1.1 leads |
| AA EnterpriseOps-GymSource | 46.6% | — | Not comparable |
| AA Harvey LABSource | 86.3% | 93.1% | Muse Spark 1.1 leads |
| AA ITBenchSource | 45.8% | — | Not comparable |
| AA Tau3 BankingSource | 31.3% | 25.2% | GPT-5.5 leads |
| terminalBenchHardSource | 60.6% | — | Not comparable |
| aaTerminalBench21Source | 84.3% | 77.9% | GPT-5.5 leads |
| DeepSearchQASource | — | 84.9% | Not comparable |
| Finance Agent v2Source | — | 57.2% | Not comparable |
| deepSweSource | — | 53.3% | Not comparable |
| CybenchSource | — | 92.9% | Not comparable |
CodingMuse Spark 1.1 wins9 benchmarks
| Benchmark | GPT-5.5 | Muse Spark 1.1 | Result |
|---|---|---|---|
| SWE-bench ProSource | 58.6% | 61.5% | Muse Spark 1.1 leads |
| Terminal-Bench 2.0Source | 82.0% | 80.0% | GPT-5.5 leads |
| Vibe Code BenchSource | 69.85% | — | Not comparable |
| React Native EvalsSource | 84.7% | — | Not comparable |
| cursorBench31Source | 59.2% | — | Not comparable |
| cursorBench32Source | 58.4% | — | Not comparable |
| AA Coding IndexSource | 74.9% | 71.3% | GPT-5.5 leads |
| AA-SciCodeSource | 56.1% | 58.2% | Muse Spark 1.1 leads |
| FrontierCode 1.1 MainSource | 43.0% | — | Not comparable |
Reasoning6 benchmarks
KnowledgeMuse Spark 1.1 wins11 benchmarks
| Benchmark | GPT-5.5 | Muse Spark 1.1 | Result |
|---|---|---|---|
| GPQASource | 93.6% | — | Not comparable |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 52.2% | 62.1% | Muse Spark 1.1 leads |
| HLE w/o toolsSource | 41.4% | 52.2% | Muse Spark 1.1 leads |
| Artificial Analysis Intelligence IndexSource | 54.8% | 50.6% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 93.5% | 89.8% | GPT-5.5 leads |
| AA-HLESource | 44.3% | 45.1% | Muse Spark 1.1 leads |
| AA-Omniscience IndexSource | 20.1% | 18.0% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 56.9% | 40.6% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 85.5% | 38.1% | Muse Spark 1.1 leads |
| HealthBench ProfessionalSource | — | 59.3% | Not comparable |
Math3 benchmarks
MultimodalMuse Spark 1.1 wins7 benchmarks
| Benchmark | GPT-5.5 | Muse Spark 1.1 | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 83.2% | — | Not comparable |
| OfficeQA ProSource | 54.1% | — | Not comparable |
| AA-MMMU-ProSource | 79.9% | — | Not comparable |
| Design Arena WebsiteSource | 1282 | 1299 | Muse Spark 1.1 leads |
| CharXivSource | — | 88.4% | Not comparable |
| BabyVisionSource | — | 76.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 | Muse Spark 1.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | — | Not comparable |
Frequently Asked Questions (5)
Which is better, GPT-5.5 or Muse Spark 1.1?
Muse Spark 1.1 is ahead on BenchLM's BenchAlign leaderboard, 77.44 to 73.51. The biggest single separator in this matchup is HLE, where the scores are 52.2% and 62.1%.
Which is better for knowledge tasks, GPT-5.5 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 57.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.5 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for coding in this comparison, averaging 61.5 versus 58.6. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.5 or Muse Spark 1.1?
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 80.4. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.5 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for multimodal and grounded tasks in this comparison, averaging 88.4 versus 70.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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