Model comparison
Claude Fable 5 vs Muse Spark
Head-to-head evidence from 18 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #2 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and Muse Spark share 18 comparable benchmark results. 3 of 8 categories are comparable. 16 results are unique to Claude Fable 5; 21 to Muse Spark.
Updated July 23, 2026- Shared results
- 18
- Claude Fable 5 only
- 16
- Muse Spark only
- 21
- Comparable categories
- 3 / 8
Pick Claude Fable 5 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 5 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
Claude Fable 5 is clearly ahead on the BenchAlign aggregate, 83.68 to 71.04. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in agentic, where it averages 84.6 against 59. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 52.4%. Muse Spark does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Claude Fable 5 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 | Claude Fable 5 | Δ | Muse Spark |
|---|---|---|---|
| Agentic | Claude Fable 584.6 | Margin← 25.6 | Muse Spark59.0 |
| Multimodal | Claude Fable 557.9 | Margin→ 24.6 | Muse Spark82.5 |
| Coding | Claude Fable 589.2 | Margin← 21.4 | Muse Spark67.8 |
| Reasoning | Claude Fable 5Not measured | MarginNo overlap | Muse Spark42.5 |
| Knowledge | Claude Fable 5Not measured | MarginNo overlap | Muse Spark50.4 |
| Math | Claude Fable 5Not measured | MarginNo overlap | Muse Spark32.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 80%B 52.4%Winner: Claude Fable 5Δ 27.6SWE-bench Pro: Claude Fable 5 scored 80%; Muse Spark scored 52.4%. Claude Fable 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 84.3%B 59%Winner: Claude Fable 5Δ 25.3Terminal-Bench 2.0: Claude Fable 5 scored 84.3%; Muse Spark scored 59%. Claude Fable 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 95%B 77.4%Winner: Claude Fable 5Δ 17.6SWE-bench Verified: Claude Fable 5 scored 95%; Muse Spark scored 77.4%. Claude Fable 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Fable 5Not available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | Muse Spark262K | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Fable 5 wins16 benchmarks
| Benchmark | Claude Fable 5 | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | 59% | Claude Fable 5 leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1748 | 1144 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 28.7% | Claude Fable 5 leads |
| τ²-bench resultsSource | 98.5% | 91.5% | Claude Fable 5 leads |
| GDPval-AASource | 62.4% | 32.2% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | — | Not comparable |
| AA AutomationBenchSource | 48.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 51.1% | — | Not comparable |
| AA Harvey LABSource | 93.6% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
CodingClaude Fable 5 wins11 benchmarks
| Benchmark | Claude Fable 5 | Muse Spark | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | 77.4% | Claude Fable 5 leads |
| SWE-bench ProSource | 80% | 52.4% | Claude Fable 5 leads |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 76.5% | 58.6% | Claude Fable 5 leads |
| AA-SciCodeSource | 60.2% | 51.5% | Claude Fable 5 leads |
| LiveCodeBench ProSource | — | 80.0% | Not comparable |
| Vibe Code BenchSource | — | 19.67% | Not comparable |
Reasoning3 benchmarks
Knowledge11 benchmarks
| Benchmark | Claude Fable 5 | Muse Spark | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 43.1% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 88.4% | Claude Fable 5 leads |
| AA-HLESource | 53.3% | 39.9% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | 4.1% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 44.6% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 73.2% | Claude Fable 5 leads |
| 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 |
Math2 benchmarks
MultimodalMuse Spark wins11 benchmarks
| Benchmark | Claude Fable 5 | Muse Spark | Result |
|---|---|---|---|
| Blueprint-Bench 2Source | 38.6% | — | Not comparable |
| OfficeQA ProSource | 57.9% | — | Not comparable |
| Design Arena WebsiteSource | 1332 | — | Not comparable |
| 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 | Claude Fable 5 | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | 75.9% | Muse Spark leads |
Frequently Asked Questions (4)
Which is better, Claude Fable 5 or Muse Spark?
Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 71.04. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 52.4%.
Which is better for coding, Claude Fable 5 or Muse Spark?
Claude Fable 5 has the edge for coding in this comparison, averaging 89.2 versus 67.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Fable 5 or Muse Spark?
Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 84.6 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, Claude Fable 5 or Muse Spark?
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 57.9. Claude Fable 5 stays close enough that the answer can still flip depending on your workload.
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