DeepSeek V4 Flash 0423 vs Muse Spark 1.1
Muse Spark 1.1 leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 33.7 to 24.4, and DeepSeek V4 Flash 0423 costs 15.2x less per output token ($0.28 vs $4.25 per million). Updated October 22, 2026; 46 benchmarks have a result for both.
DeepSeek V4 Flash 0423 or Muse Spark 1.1: which to pick
Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash 0423 for output tokens 15.2x cheaper ($0.28 vs $4.25 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
- Shared results
- 46
- DeepSeek V4 Flash 0423 only
- 4
- Muse Spark 1.1 only
- 58
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Only Muse Spark 1.1 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Muse Spark 1.1
Muse Spark 1.1 leads, 33.7 against 24.4.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads, 26.3 against 25.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Muse Spark 1.1 has a GPQA Diamond result, 91.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.1 has a MMLU Pro result, 88.7%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.1
Muse Spark 1.1 leads, 1270 against 1207.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 $0.0003, 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 V4 Flash 0423 not benchmarked, Muse Spark 1.1 70.3 from 3 benchmarks.
- Widest category
- Web design, 12.2 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: ASCII art: DeepSeek V4 Flash 0423 1109 against Muse Spark 1.1 1269, 20.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against Muse Spark 1.1 $4.25 per million output tokens, 15.2x 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 Flash 0423 | Bars | Muse Spark 1.1 | Ties |
|---|---|---|---|---|
| Coding | 3 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 8 | ||
| General | 0 | 19 | ||
| All shared boards | 4 | 42 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | 1542 | DeepSeek V4 Flash 0423 |
| AA Coding Index | 52.0 | 71.3 | Muse Spark 1.1 |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Muse Spark 1.1 measured |
| 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 |
| SciCode | Not measured | 58.8% | Only Muse Spark 1.1 measured |
| WeirdML | 45.6% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| ALE-Bench | 678.2 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: coding | 1457 | 1498 | Muse Spark 1.1 |
| LMArena Text: software and IT | 1453 | 1498 | Muse Spark 1.1 |
| LMArena WebDev: React | 1585 | 1532 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: HTML | 1558 | 1540 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: from an image | Not measured | 1540 | Only Muse Spark 1.1 measured |
| SWE Atlas: Codebase QnA | Not measured | 42.2% | Only Muse Spark 1.1 measured |
| SWE Atlas: Test Writing | Not measured | 41.5% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 33.7 | Muse Spark 1.1 |
| Epoch Capabilities Index | 146.1 | 154.1 | Muse Spark 1.1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 25.8 | DeepSeek V4 Flash 0423 |
| 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 | 1175 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Android apps | Not measured | 1178 | 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 | 1145 | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | Not measured | 1134 | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | Not measured | 1021 | 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 |
| APEX-Agents | Not measured | 31.8% | Only Muse Spark 1.1 measured |
| Vending-Bench 2 | Not measured | $6,520 | Only Muse Spark 1.1 measured |
| MCP Atlas | Not measured | 88.1% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.2% | Only Muse Spark 1.1 measured |
| MMMU Pro (Vals AI) | Not measured | 86.6% | Only Muse Spark 1.1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.8% | Only Muse Spark 1.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 46.2% | Only Muse Spark 1.1 measured |
| SimpleBench | 46.3% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | Not measured | 34.0% | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts | 1444 | 1485 | Muse Spark 1.1 |
| LMArena Text: expert | 1441 | 1478 | Muse Spark 1.1 |
| LMArena Text: hard prompts in English | 1449 | 1480 | Muse Spark 1.1 |
| LMArena Vision: diagrams | Not measured | 1305 | Only Muse Spark 1.1 measured |
| LMArena Vision: homework | Not measured | 1287 | Only Muse Spark 1.1 measured |
| Kagi LLM Benchmark | 52.2% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 39.0% | Only Muse Spark 1.1 measured |
| LMArena Text: math | 1426 | 1482 | Muse Spark 1.1 |
| LMArena Text: mathematical work | 1432 | 1487 | Muse Spark 1.1 |
| MathArena | 24.8% | 42.5% | Muse Spark 1.1 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.7% | Only Muse Spark 1.1 measured |
| LegalBench (Vals AI) | Not measured | 85.0% | Only Muse Spark 1.1 measured |
| CorpFin (Vals AI) | Not measured | 71.3% | Only Muse Spark 1.1 measured |
| TaxEval (Vals AI) | Not measured | 79.7% | Only Muse Spark 1.1 measured |
| MortgageTax (Vals AI) | Not measured | 66.1% | Only Muse Spark 1.1 measured |
| SimpleQA Verified | Not measured | 57.8% | Only Muse Spark 1.1 measured |
| LMArena Text: science | 1446 | 1484 | Muse Spark 1.1 |
| LMArena Text: medicine and healthcare | 1448 | 1479 | Muse Spark 1.1 |
| LMArena Text: legal and government | 1439 | 1481 | Muse Spark 1.1 |
| LMArena Text: business and finance | 1425 | 1470 | Muse Spark 1.1 |
| PRBench Finance | Not measured | 55.0% | Only Muse Spark 1.1 measured |
| PRBench Legal | Not measured | 57.0% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | DeepSeek V4 Flash 0423 | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1207 | 1270 | Muse Spark 1.1 |
| Design Arena: UI components | 1162 | 1287 | Muse Spark 1.1 |
| Design Arena: game dev | 1196 | 1269 | Muse Spark 1.1 |
| Design Arena: data viz | 1127 | 1267 | Muse Spark 1.1 |
| Design Arena: 3D | 1188 | 1259 | Muse Spark 1.1 |
| Design Arena: all code categories | 1205 | 1276 | Muse Spark 1.1 |
| Design Arena: SVG | 1154 | 1234 | Muse Spark 1.1 |
| Design Arena: ASCII art | 1109 | 1269 | Muse Spark 1.1 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | DeepSeek V4 Flash 0423 | 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 |
| Long context reasoning (AA-LCR) | Not measured | 77.7% | Only Muse Spark 1.1 measured |
| DTBench | 86.4% | 94.4% | Muse Spark 1.1 |
| LMCA | 35.9% | 49.9% | Muse Spark 1.1 |
| Surface Evolver Bench | Not measured | 52.5% | Only Muse Spark 1.1 measured |
| LMArena Text | 1432 | 1478 | Muse Spark 1.1 |
| LMArena Text: instruction following | 1421 | 1457 | Muse Spark 1.1 |
| LMArena Text: creative writing | 1403 | 1435 | Muse Spark 1.1 |
| LMArena Vision | Not measured | 1293 | Only Muse Spark 1.1 measured |
| LMArena Text: English | 1441 | 1478 | Muse Spark 1.1 |
| LMArena Text: non-English | 1419 | 1471 | Muse Spark 1.1 |
| LMArena Text: Chinese | 1463 | 1515 | Muse Spark 1.1 |
| LMArena Text: German | 1419 | 1469 | Muse Spark 1.1 |
| LMArena Text: Japanese | 1389 | 1450 | Muse Spark 1.1 |
| LMArena Text: Korean | 1383 | 1459 | Muse Spark 1.1 |
| LMArena Text: French | 1439 | 1492 | Muse Spark 1.1 |
| LMArena Text: Spanish | 1436 | 1464 | Muse Spark 1.1 |
| LMArena Text: Russian | 1427 | 1482 | Muse Spark 1.1 |
| LMArena Text: Polish | 1436 | 1499 | Muse Spark 1.1 |
| LMArena Text: multi-turn | 1449 | 1484 | Muse Spark 1.1 |
| LMArena Text: longer queries | 1434 | 1462 | Muse Spark 1.1 |
| LMArena Text: writing and language | 1410 | 1448 | Muse Spark 1.1 |
| LMArena Text: entertainment and media | 1400 | 1438 | Muse Spark 1.1 |
| 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 |
| MultiChallenge | Not measured | 75.3% | Only Muse Spark 1.1 measured |
| EQ-Bench 4 | Not measured | 1260 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | 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 V4 Flash 0423 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0423 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 0423 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 Flash 0423 | Meta Muse Spark 1.1 |
|---|---|---|
| Maker | DeepSeek | Meta |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.13 | $1.25 |
| Output $/Mtok | $0.28 | $4.25 |
| Coding index | Not benchmarked | 70.3 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | Not computable | $0.43 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than Muse Spark 1.1 for coding?
Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 15.2x cheaper ($0.28 vs $4.25 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
Which is cheaper, DeepSeek V4 Flash 0423 or Muse Spark 1.1?
DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 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 V4 Flash 0423 or Muse Spark 1.1?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Flash 0423 vs Muse Spark 1.1 comparison based on?
46 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.