Model comparison
Muse Spark vs SWE-1.7
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Muse Spark supported; SWE-1.7 not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Muse Spark and SWE-1.7 share 1 comparable benchmark result. 1 of 8 categories are comparable. 40 results are unique to Muse Spark; 3 to SWE-1.7.
Updated July 16, 2026- Shared results
- 1
- Muse Spark only
- 40
- SWE-1.7 only
- 3
- Comparable categories
- 1 / 8
Pick SWE-1.7 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
SWE-1.7 is clearly ahead on the provisional aggregate, 74 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
SWE-1.7's sharpest advantage is in agentic, where it averages 81.5 against 59. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59% to 81.5%.
Muse Spark gives you the larger context window at 262K, compared with 256K for SWE-1.7.
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 | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | Muse Spark59.0 | Margin→ 22.5 | SWE-1.781.5 |
| Coding | Muse Spark67.8 | MarginNo overlap | SWE-1.7Not measured |
| Reasoning | Muse Spark42.5 | MarginNo overlap | SWE-1.7Not measured |
| Knowledge | Muse Spark50.4 | MarginNo overlap | SWE-1.7Not measured |
| Math | Muse Spark32.9 | MarginNo overlap | SWE-1.7Not measured |
| Multimodal | Muse Spark82.5 | MarginNo overlap | SWE-1.7Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 59%B 81.5%Winner: SWE-1.7Δ 22.5Terminal-Bench 2.0: Muse Spark scored 59%; SWE-1.7 scored 81.5%. SWE-1.7 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Muse Spark | SWE-1.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Muse SparkNot available | SWE-1.7Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Muse SparkNot available | SWE-1.7Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Muse SparkNot available | SWE-1.7Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Muse Spark262K | SWE-1.7256K | Muse Spark lists the larger context window. |
Benchmark Deep Dive
AgenticSWE-1.7 wins8 benchmarks
| Benchmark | Muse Spark | SWE-1.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59% | 81.5% | SWE-1.7 leads |
| 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 |
Coding10 benchmarks
| Benchmark | Muse Spark | SWE-1.7 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.4% | — | Not comparable |
| SWE-bench ProSource | 52.4% | — | Not comparable |
| LiveCodeBench ProSource | 80.0% | — | Not comparable |
| Vibe Code BenchSource | 19.67% | — | Not comparable |
| AA Coding IndexSource | 58.6% | — | Not comparable |
| Terminal-Bench HardSource | 45.5% | — | Not comparable |
| AA-SciCodeSource | 51.5% | — | Not comparable |
| FrontierCodeSource | — | 42.3% | Not comparable |
| Terminal-Bench 2.0Source | — | 81.5% | Not comparable |
| SWE MultilingualSource | — | 77.8% | Not comparable |
Reasoning3 benchmarks
Knowledge11 benchmarks
| Benchmark | Muse Spark | SWE-1.7 | Result |
|---|---|---|---|
| GPQA-DSource | 89.5% | — | Not comparable |
| HLESource | 50.4% | — | Not comparable |
| HLE w/o toolsSource | 42.8% | — | 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 |
Math2 benchmarks
Multimodal9 benchmarks
| Benchmark | Muse Spark | SWE-1.7 | 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 |
| GDPval-AASource | 1444 | — | Not comparable |
| AA-MMMU-ProSource | 80.5% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Muse Spark | SWE-1.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Muse Spark or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 74 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59% and 81.5%.
Which is better for agentic tasks, Muse Spark or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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