DeepSeek V4.1 Flash 1017 vs Muse Spark 1.3
Updated October 21, 2026. 30 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 83.3 on the Vibe Coding Index against 79.7 for Muse Spark 1.3.
Pick Muse Spark 1.3 when what matters is SciCode or ALE-Bench, where it leads.
- Shared results
- 30
- DeepSeek V4.1 Flash 1017 only
- 2
- Muse Spark 1.3 only
- 62
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 scores 83.3 against 79.7.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 39.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.3 has a AA Agentic Index result, 55.5.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1312.
Same board, both measured
General
Vals Index
No call
Only DeepSeek V4.1 Flash 1017 has a Vals Index result, 61.3%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 $0.0004, Muse Spark 1.3 $0.0034 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 1017 83.3 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
- Widest category
- Intelligence, 8.6 points apart on average over 1 shared benchmark.
- Widest single gap
- Design Arena: spreadsheets: DeepSeek V4.1 Flash 1017 1238 against Muse Spark 1.3 1048, 23.8 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash 1017 $0.60 against Muse Spark 1.3 $4.25 per million output tokens, 7.1x apart.
- Context window
- Both take 1.05M tokens.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | DeepSeek V4.1 Flash 1017 | Bars | Muse Spark 1.3 | Ties |
|---|---|---|---|---|
| Coding | 6 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 5 | 3 | ||
| Reasoning | 0 | 2 | ||
| Web design | 3 | 5 | ||
| General | 0 | 2 | ||
| All shared boards | 14 | 16 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index63
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | 90.2% | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev | 1664 | 1659 | DeepSeek V4.1 Flash 1017 |
| AA Coding Index | Not measured | 75.8 | Only Muse Spark 1.3 measured |
| Terminal-Bench 4 (Vals AI) | 31.8% | 10.6% | DeepSeek V4.1 Flash 1017 |
| Vibe Code Bench (Vals AI) | 87.7% | 82.9% | DeepSeek V4.1 Flash 1017 |
| Code migration (Vals AI) | 44.2% | 27.6% | DeepSeek V4.1 Flash 1017 |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Muse Spark 1.3 measured |
| IOI (Vals AI) | Not measured | 43.9% | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 72.3% | Only Muse Spark 1.3 measured |
| CyberBench (Vals AI) | Not measured | 69.4% | Only Muse Spark 1.3 measured |
| SciCode | 55.9% | 59.7% | Muse Spark 1.3 |
| FrontierSWE | Not measured | 25.8% | Only Muse Spark 1.3 measured |
| ALE-Bench | 1622.0 | 1688.3 | Muse Spark 1.3 |
| LMArena Text: coding | Not measured | 1510 | Only Muse Spark 1.3 measured |
| LMArena Text: software and IT | Not measured | 1511 | Only Muse Spark 1.3 measured |
| LMArena WebDev: React | 1667 | 1672 | Muse Spark 1.3 |
| LMArena WebDev: HTML | 1687 | 1653 | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev: from an image | Not measured | 1640 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.5 | 48.1 | Muse Spark 1.3 |
| Epoch Capabilities Index | Not measured | 157.2 | Only Muse Spark 1.3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index53
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 55.5 | Only Muse Spark 1.3 measured |
| Design Arena: agents building web apps | Not measured | 1297 | Only Muse Spark 1.3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1295 | Only Muse Spark 1.3 measured |
| Design Arena: agents building mobile apps | Not measured | 1217 | Only Muse Spark 1.3 measured |
| Design Arena: agents building Godot games | Not measured | 1241 | Only Muse Spark 1.3 measured |
| Design Arena: PowerPoint slides | Not measured | 1244 | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | 1238 | 1048 | DeepSeek V4.1 Flash 1017 |
| LiveBench research | 79.5% | 68.6% | DeepSeek V4.1 Flash 1017 |
| LiveBench browser | 76.0% | 80.0% | Muse Spark 1.3 |
| LiveBench long agentic | 50.9% | 40.4% | DeepSeek V4.1 Flash 1017 |
| Finance Agent (Vals AI) | 57.0% | 58.9% | Muse Spark 1.3 |
| Tax Agent Bench (Vals AI) | 44.4% | 36.0% | DeepSeek V4.1 Flash 1017 |
| Legal Research Bench (Vals AI) | 45.2% | 40.9% | DeepSeek V4.1 Flash 1017 |
| Harvey's Legal Agent Benchmark (Vals AI) | 14.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Excel Modeling Benchmark (Vals AI) | 61.8% | 62.7% | Muse Spark 1.3 |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only Muse Spark 1.3 measured |
| APEX-Agents | Not measured | 58.6% | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 89.1% | 89.7% | Muse Spark 1.3 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 94.1% | Only Muse Spark 1.3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.3% | 48.7% | Muse Spark 1.3 |
| Chess puzzles | Not measured | 37.0% | Only Muse Spark 1.3 measured |
| Mystery game puzzles | Not measured | 25.0% | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts | Not measured | 1503 | Only Muse Spark 1.3 measured |
| LMArena Text: expert | Not measured | 1519 | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts in English | Not measured | 1500 | Only Muse Spark 1.3 measured |
| LMArena Vision: diagrams | Not measured | 1330 | Only Muse Spark 1.3 measured |
| LMArena Vision: homework | Not measured | 1296 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 11 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 99.2% | Only Muse Spark 1.3 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 74.4% | Only Muse Spark 1.3 measured |
| FrontierMath, tier 4 | Not measured | 46.3% | Only Muse Spark 1.3 measured |
| ProofBench | Not measured | 58.0% | Only Muse Spark 1.3 measured |
| LMArena Text: math | Not measured | 1497 | Only Muse Spark 1.3 measured |
| LMArena Text: mathematical work | Not measured | 1491 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1507 | Only Muse Spark 1.3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1493 | Only Muse Spark 1.3 measured |
| LMArena Text: legal and government | Not measured | 1499 | Only Muse Spark 1.3 measured |
| LMArena Text: business and finance | Not measured | 1490 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | 1356 | Muse Spark 1.3 |
| Design Arena: UI components | 1305 | 1352 | Muse Spark 1.3 |
| Design Arena: game dev | 1365 | 1329 | DeepSeek V4.1 Flash 1017 |
| Design Arena: data viz | 1330 | 1343 | Muse Spark 1.3 |
| Design Arena: 3D | 1368 | 1359 | DeepSeek V4.1 Flash 1017 |
| Design Arena: all code categories | 1335 | 1353 | Muse Spark 1.3 |
| Design Arena: SVG | Not measured | 1300 | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | 1244 | 1280 | Muse Spark 1.3 |
| LiveBench design | 83.4% | 74.8% | DeepSeek V4.1 Flash 1017 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Vals Index | 61.3% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench data analysis | 79.5% | 79.6% | Muse Spark 1.3 |
| Long context reasoning (AA-LCR) | 82.7% | 83.0% | Muse Spark 1.3 |
| DTBench | Not measured | 96.5% | Only Muse Spark 1.3 measured |
| LMCA | Not measured | 53.9% | Only Muse Spark 1.3 measured |
| LMArena Text | Not measured | 1490 | Only Muse Spark 1.3 measured |
| LMArena Text: instruction following | Not measured | 1479 | Only Muse Spark 1.3 measured |
| LMArena Text: creative writing | Not measured | 1462 | Only Muse Spark 1.3 measured |
| LMArena Vision | Not measured | 1308 | Only Muse Spark 1.3 measured |
| LMArena Text: English | Not measured | 1495 | Only Muse Spark 1.3 measured |
| LMArena Text: non-English | Not measured | 1481 | Only Muse Spark 1.3 measured |
| LMArena Text: Chinese | Not measured | 1532 | Only Muse Spark 1.3 measured |
| LMArena Text: German | Not measured | 1513 | Only Muse Spark 1.3 measured |
| LMArena Text: Japanese | Not measured | 1470 | Only Muse Spark 1.3 measured |
| LMArena Text: Korean | Not measured | 1490 | Only Muse Spark 1.3 measured |
| LMArena Text: French | Not measured | 1511 | Only Muse Spark 1.3 measured |
| LMArena Text: Spanish | Not measured | 1496 | Only Muse Spark 1.3 measured |
| LMArena Text: Russian | Not measured | 1491 | Only Muse Spark 1.3 measured |
| LMArena Text: Polish | Not measured | 1490 | Only Muse Spark 1.3 measured |
| LMArena Text: multi-turn | Not measured | 1487 | Only Muse Spark 1.3 measured |
| LMArena Text: longer queries | Not measured | 1488 | Only Muse Spark 1.3 measured |
| LMArena Text: writing and language | Not measured | 1470 | Only Muse Spark 1.3 measured |
| LMArena Text: entertainment and media | Not measured | 1457 | Only Muse Spark 1.3 measured |
| LMArena Vision: English | Not measured | 1298 | Only Muse Spark 1.3 measured |
| LMArena Vision: Chinese | Not measured | 1384 | Only Muse Spark 1.3 measured |
| LMArena Vision: reading text | Not measured | 1319 | Only Muse Spark 1.3 measured |
| LMArena Vision: humor | Not measured | 1293 | Only Muse Spark 1.3 measured |
| LMArena Vision: creative writing | Not measured | 1296 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
DeepSeek V4.1 Flash 1017 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4.1 Flash 1017 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4.1 Flash 1017 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | DeepSeek V4.1 Flash 1017 | Meta Muse Spark 1.3 |
|---|---|---|
| Maker | DeepSeek | Meta |
| Weights | Open weights | No public weights listed |
| Released | October 17, 2026 | September 2, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.15 | $1.25 |
| Output $/Mtok | $0.60 | $4.25 |
| Coding index | 83.3 | 79.7 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash 1017 better than Muse Spark 1.3 for coding?
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 83.3 on the Vibe Coding Index against 79.7 for Muse Spark 1.3. Pick Muse Spark 1.3 when what matters is SciCode or ALE-Bench, where it leads.
Which is cheaper, DeepSeek V4.1 Flash 1017 or Muse Spark 1.3?
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4.1 Flash 1017 or Muse Spark 1.3?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash 1017 vs Muse Spark 1.3 comparison based on?
30 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. Where only one model has a result, the page says so instead of naming a winner.