Model comparison
Inkling vs Muse Spark
Head-to-head evidence from 8 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; Muse Spark unranked
BenchAlign evidence: Inkling not scored; Muse Spark supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Inkling and Muse Spark share 8 comparable benchmark results. 5 of 8 categories are comparable. 8 results are unique to Inkling; 33 to Muse Spark.
Updated July 15, 2026- Shared results
- 8
- Inkling only
- 8
- Muse Spark only
- 33
- Comparable categories
- 5 / 8
Pick Inkling if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 8 shared benchmark results across 4 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
Inkling is clearly ahead on the provisional aggregate, 69 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Inkling's sharpest advantage is in mathematics, where it averages 97.1 against 32.9. The single biggest benchmark swing on the page is MMMU-Pro, 73.5% to 80.4%. Muse Spark does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Muse Spark is the reasoning model in the pair, while Inkling is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Inkling 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 | Inkling | Δ | Muse Spark |
|---|---|---|---|
| Math | Inkling97.1 | Margin← 64.2 | Muse Spark32.9 |
| Agentic | Inkling69.4 | Margin← 10.4 | Muse Spark59.0 |
| Multimodal | Inkling76.5 | Margin→ 6.0 | Muse Spark82.5 |
| Knowledge | Inkling51.7 | Margin← 1.3 | Muse Spark50.4 |
| Coding | Inkling68.6 | Margin← 0.8 | Muse Spark67.8 |
| Reasoning | InklingNot measured | MarginNo overlap | Muse Spark42.5 |
| Inst. Following | Inkling79.8 | MarginNo overlap | Muse SparkNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 73.5%B 80.4%Winner: Muse SparkΔ 6.9MMMU-Pro: Inkling scored 73.5%; Muse Spark scored 80.4%. Muse Spark wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 63.8%B 59%Winner: InklingΔ 4.8Terminal-Bench 2.0: Inkling scored 63.8%; Muse Spark scored 59%. Inkling wins this benchmark. - Source ↗
CharXiv
MultimodalA 82%B 86.4%Winner: Muse SparkΔ 4.4CharXiv: Inkling scored 82%; Muse Spark scored 86.4%. Muse Spark wins this benchmark. - Source ↗
HLE
KnowledgeA 46%B 50.4%Winner: Muse SparkΔ 4.4HLE: Inkling scored 46%; Muse Spark scored 50.4%. Muse Spark wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 54.3%B 52.4%Winner: InklingΔ 1.9SWE-bench Pro: Inkling scored 54.3%; Muse Spark scored 52.4%. Inkling wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | InklingNot available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | Muse Spark262K | Inkling lists the larger context window. |
Benchmark Deep Dive
AgenticInkling wins11 benchmarks
| Benchmark | Inkling | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.8% | 59% | Inkling leads |
| BrowseCompSource | 77.1% | — | Not comparable |
| MCP AtlasSource | 74.1% | — | Not comparable |
| Design Arena Agentic Web DevSource | 1258 | — | 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 |
CodingInkling wins8 benchmarks
| Benchmark | Inkling | Muse Spark | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.6% | 77.4% | Inkling leads |
| SWE-bench ProSource | 54.3% | 52.4% | Inkling leads |
| Terminal-Bench 2.0Source | 63.8% | — | 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 |
Reasoning3 benchmarks
KnowledgeInkling wins12 benchmarks
| Benchmark | Inkling | Muse Spark | Result |
|---|---|---|---|
| GPQASource | 87.9% | — | Not comparable |
| GPQA-DSource | 87.9% | 89.5% | Muse Spark leads |
| HLESource | 46% | 50.4% | Muse Spark leads |
| HLE w/o toolsSource | 30% | 42.8% | Muse Spark leads |
| 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 |
MathInkling wins3 benchmarks
MultimodalMuse Spark wins10 benchmarks
| Benchmark | Inkling | Muse Spark | Result |
|---|---|---|---|
| MMMU-ProSource | 73.5% | 80.4% | Muse Spark leads |
| CharXivSource | 82% | 86.4% | Muse Spark leads |
| CharXiv w/o toolsSource | 78.1% | — | 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 |
Frequently Asked Questions (6)
Which is better, Inkling or Muse Spark?
Inkling is ahead on BenchLM's provisional leaderboard, 69 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73.5% and 80.4%.
Which is better for knowledge tasks, Inkling or Muse Spark?
Inkling has the edge for knowledge tasks in this comparison, averaging 51.7 versus 50.4. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Which is better for coding, Inkling or Muse Spark?
Inkling has the edge for coding in this comparison, averaging 68.6 versus 67.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, Inkling or Muse Spark?
Inkling has the edge for math in this comparison, averaging 97.1 versus 32.9. Muse Spark stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Inkling or Muse Spark?
Inkling has the edge for agentic tasks in this comparison, averaging 69.4 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Inkling or Muse Spark?
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 76.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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