Model comparison
GPT-5.4 vs Muse Spark 1.1
Head-to-head evidence from 27 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 #8 (Supported); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and Muse Spark 1.1 share 27 comparable benchmark results. 4 of 8 categories are comparable. 25 results are unique to GPT-5.4; 12 to Muse Spark 1.1.
Updated July 23, 2026- Shared results
- 27
- GPT-5.4 only
- 25
- Muse Spark 1.1 only
- 12
- Comparable categories
- 4 / 8
Pick Muse Spark 1.1 if you want the stronger benchmark profile. GPT-5.4 only becomes the better choice if you need the larger 1.05M context window.
Confidence note. This is a partial-evidence comparison with 27 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 74.24. 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 73.2. The single biggest benchmark swing on the page is HLE, 52.1% to 62.1%.
GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for Muse Spark 1.1.
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-5.4 | Δ | Muse Spark 1.1 |
|---|---|---|---|
| Multimodal | GPT-5.473.2 | Margin→ 15.2 | Muse Spark 1.188.4 |
| Knowledge | GPT-5.457.6 | Margin→ 4.5 | Muse Spark 1.162.1 |
| Coding | GPT-5.457.7 | Margin→ 3.8 | Muse Spark 1.161.5 |
| Agentic | GPT-5.477.2 | Margin→ 3.2 | Muse Spark 1.180.4 |
| Math | GPT-5.442.5 | 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 52.1%B 62.1%Winner: Muse Spark 1.1Δ 10HLE: GPT-5.4 scored 52.1%; Muse Spark 1.1 scored 62.1%. Muse Spark 1.1 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 75%B 80.8%Winner: Muse Spark 1.1Δ 5.8OSWorld-Verified: GPT-5.4 scored 75%; Muse Spark 1.1 scored 80.8%. Muse Spark 1.1 wins this benchmark. - Source ↗
CharXiv
MultimodalA 82.8%B 88.4%Winner: Muse Spark 1.1Δ 5.6CharXiv: GPT-5.4 scored 82.8%; Muse Spark 1.1 scored 88.4%. Muse Spark 1.1 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 75.1%B 80%Winner: Muse Spark 1.1Δ 4.9Terminal-Bench 2.0: GPT-5.4 scored 75.1%; Muse Spark 1.1 scored 80%. Muse Spark 1.1 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 57.7%B 61.5%Winner: Muse Spark 1.1Δ 3.8SWE-bench Pro: GPT-5.4 scored 57.7%; Muse Spark 1.1 scored 61.5%. 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 | GPT-5.4 | Muse Spark 1.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | Muse Spark 1.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.474 tok/s | Muse Spark 1.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | Muse Spark 1.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.41.05M | Muse Spark 1.11M | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
AgenticMuse Spark 1.1 wins26 benchmarks
| Benchmark | GPT-5.4 | Muse Spark 1.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | 80% | Muse Spark 1.1 leads |
| CyberGymSource | 79.0% | 59.0% | GPT-5.4 leads |
| BrowseCompSource | 82.7% | — | Not comparable |
| OSWorld-VerifiedSource | 75% | 80.8% | Muse Spark 1.1 leads |
| MCP AtlasSource | 70.6% | 88.1% | Muse Spark 1.1 leads |
| ToolathlonSource | 54.6% | 75.6% | Muse Spark 1.1 leads |
| τ²-bench resultsSource | 87.1% | — | Not comparable |
| Claw-EvalSource | 60.3% | — | Not comparable |
| DeepSearchQASource | 73.6% | 84.9% | Muse Spark 1.1 leads |
| AA Agentic IndexSource | 41.1% | 37.5% | GPT-5.4 leads |
| APEX-Agents-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 44.7% | 43.7% | GPT-5.4 leads |
| GDPval-AASource | 1395 | 1374 | GPT-5.4 leads |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| JobBenchSource | 38.9% | 54.7% | Muse Spark 1.1 leads |
| ExploitGymSource | 6.0% | 0.8% | GPT-5.4 leads |
| Finance Agent v2Source | — | 57.2% | Not comparable |
| deepSweSource | — | 53.3% | Not comparable |
| OSWorld 2.0Source | — | 14.2% | Not comparable |
| CybenchSource | — | 92.9% | 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 1.1 wins7 benchmarks
| Benchmark | GPT-5.4 | Muse Spark 1.1 | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 87.5% | — | Not comparable |
| SWE-bench ProSource | 57.7% | 61.5% | Muse Spark 1.1 leads |
| React Native EvalsSource | 85.3% | — | Not comparable |
| Vibe Code BenchSource | 67.42% | — | Not comparable |
| AA Coding IndexSource | 71.0% | 71.3% | Muse Spark 1.1 leads |
| AA-SciCodeSource | 56.6% | 58.2% | Muse Spark 1.1 leads |
| Terminal-Bench 2.0Source | — | 80.0% | Not comparable |
Reasoning3 benchmarks
KnowledgeMuse Spark 1.1 wins13 benchmarks
| Benchmark | GPT-5.4 | Muse Spark 1.1 | Result |
|---|---|---|---|
| GPQASource | 92.8% | — | Not comparable |
| HLESource | 52.1% | 62.1% | Muse Spark 1.1 leads |
| HLE w/o toolsSource | 39.8% | 52.2% | Muse Spark 1.1 leads |
| GPQA-DSource | 92.8% | — | Not comparable |
| HealthBench HardSource | 40.1% | — | Not comparable |
| MedXpertQA (Text)Source | 59.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.4% | 50.6% | GPT-5.4 leads |
| AA-GPQA DiamondSource | 92.0% | 89.8% | GPT-5.4 leads |
| AA-HLESource | 41.6% | 45.1% | Muse Spark 1.1 leads |
| AA-Omniscience IndexSource | 5.7% | 18.0% | Muse Spark 1.1 leads |
| AA-Omniscience AccuracySource | 50.0% | 40.6% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 38.1% | Muse Spark 1.1 leads |
| HealthBench ProfessionalSource | 48.1% | 59.3% | Muse Spark 1.1 leads |
Math2 benchmarks
MultimodalMuse Spark 1.1 wins12 benchmarks
| Benchmark | GPT-5.4 | Muse Spark 1.1 | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | — | Not comparable |
| OfficeQA ProSource | 53.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 82.1% | — | Not comparable |
| CharXivSource | 82.8% | 88.4% | Muse Spark 1.1 leads |
| ERQASource | 65.4% | — | Not comparable |
| SimpleVQASource | 61.1% | — | Not comparable |
| ScreenSpot ProSource | 85.4% | — | Not comparable |
| ZeroBenchSource | 41.0% | — | Not comparable |
| MedXpertQA (MM)Source | 77.1% | — | Not comparable |
| AA-MMMU-ProSource | 78.4% | — | Not comparable |
| Design Arena WebsiteSource | 1250 | 1299 | Muse Spark 1.1 leads |
| BabyVisionSource | — | 76.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | Muse Spark 1.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | — | Not comparable |
Frequently Asked Questions (5)
Which is better, GPT-5.4 or Muse Spark 1.1?
Muse Spark 1.1 is ahead on BenchLM's BenchAlign leaderboard, 77.44 to 74.24. The biggest single separator in this matchup is HLE, where the scores are 52.1% and 62.1%.
Which is better for knowledge tasks, GPT-5.4 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 57.6. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.4 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for coding in this comparison, averaging 61.5 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.4 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for multimodal and grounded tasks in this comparison, averaging 88.4 versus 73.2. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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