Model comparison
GPT-5.5 Pro vs Muse Spark
Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 Pro and Muse Spark share 5 comparable benchmark results. 3 of 8 categories are comparable. 2 results are unique to GPT-5.5 Pro; 34 to Muse Spark.
Updated July 23, 2026- Shared results
- 5
- GPT-5.5 Pro only
- 2
- Muse Spark only
- 34
- Comparable categories
- 3 / 8
Pick Muse Spark if you want the stronger benchmark profile. GPT-5.5 Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 evidence categories; 3 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 is clearly ahead on the BenchAlign aggregate, 71.04 to 63.69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 Pro 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 | GPT-5.5 Pro | Δ | Muse Spark |
|---|---|---|---|
| Agentic | GPT-5.5 Pro90.1 | Margin← 31.1 | Muse Spark59.0 |
| Math | GPT-5.5 Pro48.1 | Margin← 15.2 | Muse Spark32.9 |
| Knowledge | GPT-5.5 Pro57.2 | Margin← 6.8 | Muse Spark50.4 |
| Coding | GPT-5.5 ProNot measured | MarginNo overlap | Muse Spark67.8 |
| Reasoning | GPT-5.5 ProNot measured | MarginNo overlap | Muse Spark42.5 |
| Multimodal | GPT-5.5 ProNot measured | MarginNo overlap | Muse Spark82.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 39.600%B 14.600%Winner: GPT-5.5 ProΔ 25FrontierMath v2 (Tier 4): GPT-5.5 Pro scored 39.600%; Muse Spark scored 14.600%. GPT-5.5 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 51.000%B 39.000%Winner: GPT-5.5 ProΔ 12FrontierMath v2 (Tiers 1-3): GPT-5.5 Pro scored 51.000%; Muse Spark scored 39.000%. GPT-5.5 Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 57.2%B 50.4%Winner: GPT-5.5 ProΔ 6.8HLE: GPT-5.5 Pro scored 57.2%; Muse Spark scored 50.4%. GPT-5.5 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 Pro | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5 Pro$30 input / $180 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5 ProNot available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5 ProNot available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.5 Pro1M | Muse Spark262K | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.5 Pro wins9 benchmarks
| Benchmark | GPT-5.5 Pro | Muse Spark | Result |
|---|---|---|---|
| BrowseCompSource | 90.1% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 59% | Not comparable |
| τ²-bench resultsSource | — | 91.5% | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| AA Agentic IndexSource | — | 28.7% | Not comparable |
| GDPval-AASource | — | 32.2% | Not comparable |
| GDPval-AASource | — | 1144 | Not comparable |
Coding6 benchmarks
Reasoning3 benchmarks
KnowledgeGPT-5.5 Pro wins11 benchmarks
| Benchmark | GPT-5.5 Pro | Muse Spark | Result |
|---|---|---|---|
| HLESource | 57.2% | 50.4% | GPT-5.5 Pro leads |
| HLE w/o toolsSource | 43.1% | 42.8% | GPT-5.5 Pro leads |
| GPQA-DSource | — | 89.5% | Not comparable |
| HealthBench HardSource | — | 42.8% | Not comparable |
| MedXpertQA (Text)Source | — | 52.6% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 43.1% | Not comparable |
| AA-GPQA DiamondSource | — | 88.4% | Not comparable |
| AA-HLESource | — | 39.9% | Not comparable |
| AA-Omniscience IndexSource | — | 4.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 44.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 73.2% | Not comparable |
MathGPT-5.5 Pro wins3 benchmarks
Multimodal8 benchmarks
| Benchmark | GPT-5.5 Pro | Muse Spark | Result |
|---|---|---|---|
| CharXivSource | — | 86.4% | Not comparable |
| 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 |
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 Pro | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.9% | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.5 Pro or Muse Spark?
Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 63.69. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 39.600% and 14.600%.
Which is better for knowledge tasks, GPT-5.5 Pro or Muse Spark?
GPT-5.5 Pro has the edge for knowledge tasks in this comparison, averaging 57.2 versus 50.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.5 Pro or Muse Spark?
GPT-5.5 Pro has the edge for math in this comparison, averaging 48.1 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-5.5 Pro or Muse Spark?
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 59. Muse Spark stays close enough that the answer can still flip depending on your workload.
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