Model comparison
Muse Spark vs Step 3.7 Flash
Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Muse Spark supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Muse Spark and Step 3.7 Flash share 22 comparable benchmark results. 2 of 8 categories are comparable. 19 results are unique to Muse Spark; 8 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 22
- Muse Spark only
- 19
- Step 3.7 Flash only
- 8
- Comparable categories
- 2 / 8
Pick Muse Spark if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 6 evidence categories; 2 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 provisional aggregate, 63 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in coding, where it averages 67.8 against 56.3. The single biggest benchmark swing on the page is SWE-bench Pro, 52.4% to 56.3%. Step 3.7 Flash does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Muse Spark gives you the larger context window at 262K, compared with 256K for Step 3.7 Flash.
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 | Step 3.7 Flash |
|---|---|---|---|
| Coding | Muse Spark67.8 | Margin← 11.5 | Step 3.7 Flash56.3 |
| Agentic | Muse Spark59.0 | Margin→ 7.4 | Step 3.7 Flash66.4 |
| Reasoning | Muse Spark42.5 | MarginNo overlap | Step 3.7 FlashNot measured |
| Knowledge | Muse Spark50.4 | MarginNo overlap | Step 3.7 FlashNot measured |
| Math | Muse Spark32.9 | MarginNo overlap | Step 3.7 FlashNot measured |
| Multimodal | Muse Spark82.5 | MarginNo overlap | Step 3.7 FlashNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 52.4%B 56.3%Winner: Step 3.7 FlashΔ 3.9SWE-bench Pro: Muse Spark scored 52.4%; Step 3.7 Flash scored 56.3%. Step 3.7 Flash wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 59%B 59.5%Winner: Step 3.7 FlashΔ 0.5Terminal-Bench 2.0: Muse Spark scored 59%; Step 3.7 Flash scored 59.5%. Step 3.7 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Muse Spark | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Muse SparkNot available | Step 3.7 Flash$0.2 input / $1.15 output | A complete price comparison is not available. |
| Generation speedtokens per second | Muse SparkNot available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Muse SparkNot available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Muse Spark262K | Step 3.7 Flash256K | Muse Spark lists the larger context window. |
Benchmark Deep Dive
AgenticStep 3.7 Flash wins13 benchmarks
| Benchmark | Muse Spark | Step 3.7 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59% | 59.5% | Step 3.7 Flash leads |
| τ²-bench resultsSource | 91.5% | 98.5% | Step 3.7 Flash leads |
| DeepSearchQASource | 74.8% | 92.8% | Step 3.7 Flash leads |
| CyberGymSource | 43.5% | — | Not comparable |
| Claw-EvalSource | 63.8% | 67.1% | Step 3.7 Flash leads |
| AA Agentic IndexSource | 28.7% | 21.5% | Muse Spark leads |
| GDPval-AASource | 32.2% | 25.9% | Muse Spark leads |
| GDPval-AASource | 1144 | 1017 | Muse Spark leads |
| BrowseCompSource | — | 75.8% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
CodingMuse Spark wins8 benchmarks
| Benchmark | Muse Spark | Step 3.7 Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.4% | — | Not comparable |
| SWE-bench ProSource | 52.4% | 56.3% | Step 3.7 Flash leads |
| LiveCodeBench ProSource | 80.0% | — | Not comparable |
| Vibe Code BenchSource | 19.67% | — | Not comparable |
| AA Coding IndexSource | 58.6% | 39.6% | Muse Spark leads |
| Terminal-Bench HardSource | 45.5% | 35.6% | Muse Spark leads |
| AA-SciCodeSource | 51.5% | 40.0% | Muse Spark leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
Reasoning3 benchmarks
Knowledge11 benchmarks
| Benchmark | Muse Spark | Step 3.7 Flash | 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% | 30.3% | Muse Spark leads |
| AA-GPQA DiamondSource | 88.4% | 80.9% | Muse Spark leads |
| AA-HLESource | 39.9% | 19.9% | Muse Spark leads |
| AA-Omniscience IndexSource | 4.1% | -37.5% | Muse Spark leads |
| AA-Omniscience AccuracySource | 44.6% | 25.4% | Muse Spark leads |
| AA-Omniscience Hallucination RateSource | 73.2% | 84.4% | Muse Spark leads |
Math2 benchmarks
Multimodal11 benchmarks
| Benchmark | Muse Spark | Step 3.7 Flash | Result |
|---|---|---|---|
| CharXivSource | 86.4% | — | Not comparable |
| MMMU-ProSource | 80.4% | — | Not comparable |
| ERQASource | 64.7% | — | Not comparable |
| SimpleVQASource | 71.3% | 79.2% | Step 3.7 Flash leads |
| 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% | 75.3% | Muse Spark leads |
| V*Source | — | 95.3% | Not comparable |
| Design Arena WebsiteSource | — | 1218 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Muse Spark | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | 67.3% | Muse Spark leads |
Frequently Asked Questions (3)
Which is better, Muse Spark or Step 3.7 Flash?
Muse Spark is ahead on BenchLM's provisional leaderboard, 63 to 57. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 52.4% and 56.3%.
Which is better for coding, Muse Spark or Step 3.7 Flash?
Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 56.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Muse Spark or Step 3.7 Flash?
Step 3.7 Flash has the edge for agentic tasks in this comparison, averaging 66.4 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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