Model comparison
GPT-5.4 vs Muse Spark
Head-to-head evidence from 37 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 #8 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and Muse Spark share 37 comparable benchmark results. 5 of 8 categories are comparable. 15 results are unique to GPT-5.4; 2 to Muse Spark.
Updated July 23, 2026- Shared results
- 37
- GPT-5.4 only
- 15
- Muse Spark only
- 2
- Comparable categories
- 5 / 8
Pick GPT-5.4 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if coding is the priority.
Confidence note. This is a partial-evidence comparison with 37 shared benchmark results across 7 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.4 is clearly ahead on the BenchAlign aggregate, 74.24 to 71.04. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77.2 against 59. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 59%. Muse Spark does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 gives you the larger context window at 1.05M, 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 | GPT-5.4 | Δ | Muse Spark |
|---|---|---|---|
| Agentic | GPT-5.477.2 | Margin← 18.2 | Muse Spark59.0 |
| Coding | GPT-5.457.7 | Margin→ 10.1 | Muse Spark67.8 |
| Math | GPT-5.442.5 | Margin← 9.6 | Muse Spark32.9 |
| Multimodal | GPT-5.473.2 | Margin→ 9.3 | Muse Spark82.5 |
| Knowledge | GPT-5.457.6 | Margin← 7.2 | Muse Spark50.4 |
| Reasoning | GPT-5.4Not measured | MarginNo overlap | Muse Spark42.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 75.1%B 59%Winner: GPT-5.4Δ 16.1Terminal-Bench 2.0: GPT-5.4 scored 75.1%; Muse Spark scored 59%. GPT-5.4 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 27.100%B 14.600%Winner: GPT-5.4Δ 12.5FrontierMath v2 (Tier 4): GPT-5.4 scored 27.100%; Muse Spark scored 14.600%. GPT-5.4 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 47.600%B 39.000%Winner: GPT-5.4Δ 8.6FrontierMath v2 (Tiers 1-3): GPT-5.4 scored 47.600%; Muse Spark scored 39.000%. GPT-5.4 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 57.7%B 52.4%Winner: GPT-5.4Δ 5.3SWE-bench Pro: GPT-5.4 scored 57.7%; Muse Spark scored 52.4%. GPT-5.4 wins this benchmark. - Source ↗
CharXiv
MultimodalA 82.8%B 86.4%Winner: Muse SparkΔ 3.6CharXiv: GPT-5.4 scored 82.8%; Muse Spark scored 86.4%. Muse Spark 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 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.474 tok/s | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.41.05M | Muse Spark262K | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 wins17 benchmarks
| Benchmark | GPT-5.4 | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | 59% | GPT-5.4 leads |
| CyberGymSource | 79.0% | 43.5% | GPT-5.4 leads |
| BrowseCompSource | 82.7% | — | Not comparable |
| OSWorld-VerifiedSource | 75% | — | Not comparable |
| MCP AtlasSource | 70.6% | — | Not comparable |
| ToolathlonSource | 54.6% | — | Not comparable |
| τ²-bench resultsSource | 87.1% | 91.5% | Muse Spark leads |
| Claw-EvalSource | 60.3% | 63.8% | Muse Spark leads |
| DeepSearchQASource | 73.6% | 74.8% | Muse Spark leads |
| AA Agentic IndexSource | 41.1% | 28.7% | GPT-5.4 leads |
| APEX-Agents-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 44.7% | 32.2% | GPT-5.4 leads |
| GDPval-AASource | 1395 | 1144 | GPT-5.4 leads |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| JobBenchSource | 38.9% | — | Not comparable |
| ExploitGymSource | 6.0% | — | Not comparable |
CodingMuse Spark wins7 benchmarks
| Benchmark | GPT-5.4 | Muse Spark | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 87.5% | 80.0% | GPT-5.4 leads |
| SWE-bench ProSource | 57.7% | 52.4% | GPT-5.4 leads |
| React Native EvalsSource | 85.3% | — | Not comparable |
| Vibe Code BenchSource | 67.42% | 19.67% | GPT-5.4 leads |
| AA Coding IndexSource | 71.0% | 58.6% | GPT-5.4 leads |
| AA-SciCodeSource | 56.6% | 51.5% | GPT-5.4 leads |
| SWE-bench VerifiedSource | — | 77.4% | Not comparable |
Reasoning3 benchmarks
KnowledgeGPT-5.4 wins13 benchmarks
| Benchmark | GPT-5.4 | Muse Spark | Result |
|---|---|---|---|
| GPQASource | 92.8% | — | Not comparable |
| HLESource | 52.1% | 50.4% | GPT-5.4 leads |
| HLE w/o toolsSource | 39.8% | 42.8% | Muse Spark leads |
| GPQA-DSource | 92.8% | 89.5% | GPT-5.4 leads |
| HealthBench HardSource | 40.1% | 42.8% | Muse Spark leads |
| MedXpertQA (Text)Source | 59.6% | 52.6% | GPT-5.4 leads |
| Artificial Analysis Intelligence IndexSource | 51.4% | 43.1% | GPT-5.4 leads |
| AA-GPQA DiamondSource | 92.0% | 88.4% | GPT-5.4 leads |
| AA-HLESource | 41.6% | 39.9% | GPT-5.4 leads |
| AA-Omniscience IndexSource | 5.7% | 4.1% | GPT-5.4 leads |
| AA-Omniscience AccuracySource | 50.0% | 44.6% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 73.2% | Muse Spark leads |
| HealthBench ProfessionalSource | 48.1% | — | Not comparable |
MathGPT-5.4 wins2 benchmarks
MultimodalMuse Spark wins11 benchmarks
| Benchmark | GPT-5.4 | Muse Spark | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | 80.4% | GPT-5.4 leads |
| OfficeQA ProSource | 53.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 82.1% | — | Not comparable |
| CharXivSource | 82.8% | 86.4% | Muse Spark leads |
| ERQASource | 65.4% | 64.7% | GPT-5.4 leads |
| SimpleVQASource | 61.1% | 71.3% | Muse Spark leads |
| ScreenSpot ProSource | 85.4% | 84.1% | GPT-5.4 leads |
| ZeroBenchSource | 41.0% | 33.0% | GPT-5.4 leads |
| MedXpertQA (MM)Source | 77.1% | 78.4% | Muse Spark leads |
| AA-MMMU-ProSource | 78.4% | 80.5% | Muse Spark leads |
| Design Arena WebsiteSource | 1250 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 75.9% | Muse Spark leads |
Frequently Asked Questions (6)
Which is better, GPT-5.4 or Muse Spark?
GPT-5.4 is ahead on BenchLM's BenchAlign leaderboard, 74.24 to 71.04. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 59%.
Which is better for knowledge tasks, GPT-5.4 or Muse Spark?
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 57.6 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, GPT-5.4 or Muse Spark?
Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 57.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 or Muse Spark?
GPT-5.4 has the edge for math in this comparison, averaging 42.5 versus 32.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.4 or Muse Spark?
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77.2 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, GPT-5.4 or Muse Spark?
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 73.2. Inside this category, SimpleVQA is the benchmark that creates the most daylight between them.
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