DeepSeek V3 0324 vs Muse Spark 1.1
Updated October 21, 2026. 15 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 15 shared
Decision reading
Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324.
Pick DeepSeek V3 0324 when output tokens cost 3.7x less.
Model ADeepSeek V3 0324DeepSeek42.0/1001 independent benchmarkNo cost per solved taskModel BMuse Spark 1.1Meta48.9/1001 independent benchmark$0.43 per solved task
- Shared results
- 15
- DeepSeek V3 0324 only
- 20
- Muse Spark 1.1 only
- 81
- 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
Muse Spark 1.1
Muse Spark 1.1 scores 48.9 against 42.0.
One benchmark behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.1
Muse Spark 1.1 leads, 33.7 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.1
Muse Spark 1.1 leads, 25.8 against 0.8.
Same board, both measured
Reasoning
GPQA Diamond
Muse Spark 1.1
Muse Spark 1.1 leads, 91.2% against 61.6%.
Same board, both measured
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
Muse Spark 1.1
Muse Spark 1.1 leads, 88.7% against 79.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Muse Spark 1.1 has a Design Arena: websites result, 1270.
Directional only
Long documents
Listed context window
Muse Spark 1.1
Muse Spark 1.1 takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3 0324
DeepSeek V3 0324 $0.0009, Muse Spark 1.1 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.1 has the number, $0.43.
Directional only
At a glance
- Coding index
- DeepSeek V3 0324 42.0 from 1 benchmark, Muse Spark 1.1 48.9 from 1 benchmark.
- Widest category
- General, 33.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- AA Coding Index: DeepSeek V3 0324 21.2 against Muse Spark 1.1 71.3, 50.1 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.14 against Muse Spark 1.1 $4.25 per million output tokens, 3.7x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Muse Spark 1.1 1.05M.
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 V3 0324 | Bars | Muse Spark 1.1 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 3 | ||
| All shared boards | 0 | 15 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena WebDev | Not measured | 1542 | Only Muse Spark 1.1 measured |
| AA Coding Index | 21.2 | 71.3 | Muse Spark 1.1 |
| LiveCodeBench (Vals AI) | 65.5% | 85.9% | Muse Spark 1.1 |
| SWE-bench Verified (Vals AI) | Not measured | 82.0% | Only Muse Spark 1.1 measured |
| Vibe Code Bench (Vals AI) | Not measured | 72.2% | Only Muse Spark 1.1 measured |
| Code migration (Vals AI) | Not measured | 31.1% | Only Muse Spark 1.1 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.1 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 69.3% | Only Muse Spark 1.1 measured |
| SkillsBench (Vals AI) | Not measured | 59.2% | Only Muse Spark 1.1 measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | 58.8% | Muse Spark 1.1 |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only DeepSeek V3 0324 measured |
| WeirdML | 36.1% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: coding | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena Text: software and IT | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena WebDev: React | Not measured | 1532 | Only Muse Spark 1.1 measured |
| LMArena WebDev: HTML | Not measured | 1540 | Only Muse Spark 1.1 measured |
| LMArena WebDev: from an image | Not measured | 1540 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 33.7 | Muse Spark 1.1 |
| Epoch Capabilities Index | Not measured | 154.1 | Only Muse Spark 1.1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 25.8 | Muse Spark 1.1 |
| Design Arena: agents building web apps | Not measured | 1207 | Only Muse Spark 1.1 measured |
| Design Arena: agents building full-stack apps | Not measured | 1199 | Only Muse Spark 1.1 measured |
| Design Arena: agents building mobile apps | Not measured | 1177 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Android apps | Not measured | 1184 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Godot games | Not measured | 1103 | Only Muse Spark 1.1 measured |
| Design Arena: agents building games | Not measured | 1183 | Only Muse Spark 1.1 measured |
| Design Arena: HTML slides | Not measured | 1194 | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | Not measured | 1156 | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | Not measured | 974 | Only Muse Spark 1.1 measured |
| Finance Agent (Vals AI) | Not measured | 57.2% | Only Muse Spark 1.1 measured |
| Legal Research Bench (Vals AI) | Not measured | 38.0% | Only Muse Spark 1.1 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.4% | Only Muse Spark 1.1 measured |
| Time Horizon Index (Vals AI) | Not measured | 1.7% | Only Muse Spark 1.1 measured |
| τ²-Bench Telecom | 47.1% | Not measured | Only DeepSeek V3 0324 measured |
| APEX-Agents | Not measured | 31.8% | Only Muse Spark 1.1 measured |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Vending-Bench 2 | Not measured | $6,520 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 91.2% | Muse Spark 1.1 |
| MMMU Pro (Vals AI) | Not measured | 86.6% | Only Muse Spark 1.1 measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 89.8% | Muse Spark 1.1 |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 46.2% | Muse Spark 1.1 |
| GPQA Diamond (Epoch AI run) | 67.6% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| Chess puzzles | Not measured | 34.0% | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts | Not measured | 1485 | Only Muse Spark 1.1 measured |
| LMArena Text: expert | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts in English | Not measured | 1480 | Only Muse Spark 1.1 measured |
| LMArena Vision: diagrams | Not measured | 1305 | Only Muse Spark 1.1 measured |
| LMArena Vision: homework | Not measured | 1287 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AIME | 52.2% | Not measured | Only DeepSeek V3 0324 measured |
| MATH 500 (Vals AI) | 88.6% | Not measured | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | 91.7% | Not measured | Only DeepSeek V3 0324 measured |
| AA Math Index | 41.0 | Not measured | Only DeepSeek V3 0324 measured |
| AIME 2025 (Artificial Analysis run) | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| OTIS Mock AIME | 37.8% | Not measured | Only DeepSeek V3 0324 measured |
| ProofBench | Not measured | 39.0% | Only Muse Spark 1.1 measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1482 | Only Muse Spark 1.1 measured |
| LMArena Text: mathematical work | Not measured | 1487 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 88.7% | Muse Spark 1.1 |
| LegalBench (Vals AI) | 77.7% | 85.0% | Muse Spark 1.1 |
| CorpFin (Vals AI) | 54.7% | 71.3% | Muse Spark 1.1 |
| TaxEval (Vals AI) | 71.1% | 79.7% | Muse Spark 1.1 |
| MortgageTax (Vals AI) | Not measured | 66.1% | Only Muse Spark 1.1 measured |
| MedQA (Vals AI) | 82.0% | Not measured | Only DeepSeek V3 0324 measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleQA Verified | Not measured | 57.8% | Only Muse Spark 1.1 measured |
| LMArena Text: science | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1479 | Only Muse Spark 1.1 measured |
| LMArena Text: legal and government | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Text: business and finance | Not measured | 1470 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1270 | Only Muse Spark 1.1 measured |
| Design Arena: UI components | Not measured | 1290 | Only Muse Spark 1.1 measured |
| Design Arena: game dev | Not measured | 1269 | Only Muse Spark 1.1 measured |
| Design Arena: data viz | Not measured | 1268 | Only Muse Spark 1.1 measured |
| Design Arena: 3D | Not measured | 1260 | Only Muse Spark 1.1 measured |
| Design Arena: all code categories | Not measured | 1276 | Only Muse Spark 1.1 measured |
| Design Arena: SVG | Not measured | 1234 | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | Not measured | 1270 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 61.3% | Only Muse Spark 1.1 measured |
| SAGE (Vals AI) | Not measured | 45.6% | Only Muse Spark 1.1 measured |
| MedScribe (Vals AI) | Not measured | 88.9% | Only Muse Spark 1.1 measured |
| Vals Multimodal Index | Not measured | 66.7% | Only Muse Spark 1.1 measured |
| IFBench | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | 40.7% | 77.7% | Muse Spark 1.1 |
| DTBench | 64.8% | 94.4% | Muse Spark 1.1 |
| LMCA | 15.5% | 49.9% | Muse Spark 1.1 |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| Surface Evolver Bench | Not measured | 52.5% | Only Muse Spark 1.1 measured |
| LMArena Text | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: instruction following | Not measured | 1457 | Only Muse Spark 1.1 measured |
| LMArena Text: creative writing | Not measured | 1435 | Only Muse Spark 1.1 measured |
| LMArena Vision | Not measured | 1293 | Only Muse Spark 1.1 measured |
| LMArena Text: English | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: non-English | Not measured | 1471 | Only Muse Spark 1.1 measured |
| LMArena Text: Chinese | Not measured | 1515 | Only Muse Spark 1.1 measured |
| LMArena Text: German | Not measured | 1469 | Only Muse Spark 1.1 measured |
| LMArena Text: Japanese | Not measured | 1450 | Only Muse Spark 1.1 measured |
| LMArena Text: Korean | Not measured | 1459 | Only Muse Spark 1.1 measured |
| LMArena Text: French | Not measured | 1492 | Only Muse Spark 1.1 measured |
| LMArena Text: Spanish | Not measured | 1464 | Only Muse Spark 1.1 measured |
| LMArena Text: Russian | Not measured | 1482 | Only Muse Spark 1.1 measured |
| LMArena Text: Polish | Not measured | 1499 | Only Muse Spark 1.1 measured |
| LMArena Text: multi-turn | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: longer queries | Not measured | 1462 | Only Muse Spark 1.1 measured |
| LMArena Text: writing and language | Not measured | 1448 | Only Muse Spark 1.1 measured |
| LMArena Text: entertainment and media | Not measured | 1438 | Only Muse Spark 1.1 measured |
| LMArena Vision: English | Not measured | 1292 | Only Muse Spark 1.1 measured |
| LMArena Vision: Chinese | Not measured | 1348 | Only Muse Spark 1.1 measured |
| LMArena Vision: reading text | Not measured | 1301 | Only Muse Spark 1.1 measured |
| LMArena Vision: humor | Not measured | 1288 | Only Muse Spark 1.1 measured |
| LMArena Vision: creative writing | Not measured | 1253 | Only Muse Spark 1.1 measured |
| LMArena Document | Not measured | 1465 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Muse Spark 1.1 | 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 V3 0324$0.0009Fits in one request
Muse Spark 1.1$0.0034Fits in one request
DeepSeek V3 0324 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324$0.018Fits in one request
Muse Spark 1.1$0.075Fits in one request
DeepSeek V3 0324 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 0324$0.069Exceeds the context window
Muse Spark 1.1$0.292Fits in one request
DeepSeek V3 0324 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 V3 0324 | Meta Muse Spark 1.1 |
|---|---|---|
| Maker | DeepSeek | Meta |
| Weights | Open weights | No public weights listed |
| Released | March 24, 2025 | July 16, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.29 | $1.25 |
| Output $/Mtok | $1.14 | $4.25 |
| Coding index | 42.0 | 48.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.43 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Muse Spark 1.1 for coding?
Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324. Pick DeepSeek V3 0324 when output tokens cost 3.7x less.
Which is cheaper, DeepSeek V3 0324 or Muse Spark 1.1?
DeepSeek V3 0324 costs $0.29 per million input tokens and $1.14 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.1 only.
Which has the bigger context window, DeepSeek V3 0324 or Muse Spark 1.1?
Muse Spark 1.1, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Muse Spark 1.1 comparison based on?
15 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3 0324's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.