Model comparison
DeepSeek V4 Pro vs Muse Spark
Head-to-head evidence from 6 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and Muse Spark share 6 comparable benchmark results. 4 of 8 categories are comparable. 17 results are unique to DeepSeek V4 Pro; 33 to Muse Spark.
Updated July 23, 2026- Shared results
- 6
- DeepSeek V4 Pro only
- 17
- Muse Spark only
- 33
- Comparable categories
- 4 / 8
Pick Muse Spark if you want the stronger benchmark profile. DeepSeek V4 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 6 shared benchmark results across 3 evidence categories; 4 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 60.66. 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 knowledge, where it averages 50.4 against 41.3. The single biggest benchmark swing on the page is HLE, 7.7% to 50.4%. DeepSeek V4 Pro does hit back in agentic, 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 DeepSeek V4 Pro 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. DeepSeek V4 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 | DeepSeek V4 Pro | Δ | Muse Spark |
|---|---|---|---|
| Knowledge | DeepSeek V4 Pro41.3 | Margin→ 9.1 | Muse Spark50.4 |
| Coding | DeepSeek V4 Pro65.3 | Margin→ 2.5 | Muse Spark67.8 |
| Math | DeepSeek V4 Pro31.7 | Margin→ 1.2 | Muse Spark32.9 |
| Agentic | DeepSeek V4 Pro59.1 | Margin← 0.1 | Muse Spark59.0 |
| Reasoning | DeepSeek V4 ProNot measured | MarginNo overlap | Muse Spark42.5 |
| Multimodal | DeepSeek V4 ProNot measured | MarginNo overlap | Muse Spark82.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 7.7%B 50.4%Winner: Muse SparkΔ 42.7HLE: DeepSeek V4 Pro scored 7.7%; Muse Spark scored 50.4%. Muse Spark wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 73.6%B 77.4%Winner: Muse SparkΔ 3.8SWE-bench Verified: DeepSeek V4 Pro scored 73.6%; Muse Spark scored 77.4%. Muse Spark wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 52.1%B 52.4%Winner: Muse SparkΔ 0.3SWE-bench Pro: DeepSeek V4 Pro scored 52.1%; Muse Spark scored 52.4%. Muse Spark wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 59.1%B 59%Winner: DeepSeek V4 ProΔ 0.1Terminal-Bench 2.0: DeepSeek V4 Pro scored 59.1%; Muse Spark scored 59%. DeepSeek V4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | Muse Spark262K | DeepSeek V4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticDeepSeek V4 Pro wins12 benchmarks
| Benchmark | DeepSeek V4 Pro | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | 59% | DeepSeek V4 Pro leads |
| MCP AtlasSource | 69.4% | — | Not comparable |
| ToolathlonSource | 46.3% | — | Not comparable |
| Claw-EvalSource | 59.8% | 63.8% | Muse Spark leads |
| Gert LabsSource | 50.28% | — | Not comparable |
| ResearchClawBenchSource | 17.1% | — | Not comparable |
| τ²-bench resultsSource | — | 91.5% | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| AA Agentic IndexSource | — | 28.7% | Not comparable |
| GDPval-AASource | — | 32.2% | Not comparable |
| GDPval-AASource | — | 1144 | Not comparable |
CodingMuse Spark wins8 benchmarks
| Benchmark | DeepSeek V4 Pro | Muse Spark | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.6% | 77.4% | Muse Spark leads |
| SWE-bench ProSource | 52.1% | 52.4% | Muse Spark leads |
| SWE MultilingualSource | 69.8% | — | Not comparable |
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| LiveCodeBench ProSource | — | 80.0% | Not comparable |
| Vibe Code BenchSource | — | 19.67% | Not comparable |
| AA Coding IndexSource | — | 58.6% | Not comparable |
| AA-SciCodeSource | — | 51.5% | Not comparable |
Reasoning5 benchmarks
KnowledgeMuse Spark wins15 benchmarks
| Benchmark | DeepSeek V4 Pro | Muse Spark | Result |
|---|---|---|---|
| MMLU-ProSource | 82.9% | — | Not comparable |
| SimpleQASource | 45% | — | Not comparable |
| Chinese-SimpleQASource | 75.8% | — | Not comparable |
| GPQASource | 72.9% | — | Not comparable |
| GPQA-DSource | 72.9% | 89.5% | Muse Spark leads |
| HLESource | 7.7% | 50.4% | Muse Spark leads |
| 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 |
MathMuse Spark wins6 benchmarks
| Benchmark | DeepSeek V4 Pro | Muse Spark | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 31.7% | — | Not comparable |
| IMOAnswerBenchSource | 35.3% | — | Not comparable |
| ApexSource | 0.4% | — | Not comparable |
| Apex ShortlistSource | 9.2% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 39.000% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 14.600% | Not comparable |
Multimodal9 benchmarks
| Benchmark | DeepSeek V4 Pro | Muse Spark | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | 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 | DeepSeek V4 Pro | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.9% | Not comparable |
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Pro or Muse Spark?
Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 60.66. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 50.4%.
Which is better for knowledge tasks, DeepSeek V4 Pro or Muse Spark?
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 41.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro or Muse Spark?
Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 65.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Pro or Muse Spark?
Muse Spark has the edge for math in this comparison, averaging 32.9 versus 31.7. DeepSeek V4 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, DeepSeek V4 Pro or Muse Spark?
DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 59. Inside this category, Claw-Eval is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.