DeepSeek V4 Flash Vision Exp vs Muse Spark 1.3
Muse Spark 1.3 leads DeepSeek V4 Flash Vision Exp on the Artificial Analysis Intelligence Index, 48.1 to 34.8, and DeepSeek V4 Flash Vision Exp costs 3.2x less per output token ($1.32 vs $4.25 per million). Updated October 22, 2026; 14 benchmarks have a result for both.
DeepSeek V4 Flash Vision Exp or Muse Spark 1.3: which to pick
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; DeepSeek V4 Flash Vision Exp has none, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash Vision Exp for output tokens 3.2x cheaper ($1.32 vs $4.25 per million) and work measured by LiveBench research, where it leads.
- Shared results
- 14
- DeepSeek V4 Flash Vision Exp only
- 0
- Muse Spark 1.3 only
- 78
- Like-for-like categories
- 6 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 1.3 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 34.8.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 47.5.
Same board, both measured
Web design
Design Arena: websites
No call
Only Muse Spark 1.3 has a Design Arena: websites result, 1356.
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 Flash Vision Exp
DeepSeek V4 Flash Vision Exp $0.0011, Muse Spark 1.3 $0.0034 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash Vision Exp not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
- Widest category
- Coding, 24.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- LiveBench coding: DeepSeek V4 Flash Vision Exp 37.6% against Muse Spark 1.3 90.2%, 52.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash Vision Exp $1.32 against Muse Spark 1.3 $4.25 per million output tokens, 3.2x 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 Vision Exp | Bars | Muse Spark 1.3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 3 | ||
| Reasoning | 0 | 3 | ||
| Web design | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 1 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench coding | 37.6% | 90.2% | Muse Spark 1.3 |
| LMArena WebDev | Not measured | 1659 | Only Muse Spark 1.3 measured |
| AA Coding Index | 65.0 | 75.8 | Muse Spark 1.3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 10.6% | Only Muse Spark 1.3 measured |
| Vibe Code Bench (Vals AI) | Not measured | 82.9% | Only Muse Spark 1.3 measured |
| Code migration (Vals AI) | Not measured | 27.6% | Only Muse Spark 1.3 measured |
| 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 | 49.7% | 59.7% | Muse Spark 1.3 |
| FrontierSWE | Not measured | 25.8% | Only Muse Spark 1.3 measured |
| ALE-Bench | Not measured | 1688.3 | Only Muse Spark 1.3 measured |
| 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 | Not measured | 1672 | Only Muse Spark 1.3 measured |
| LMArena WebDev: HTML | Not measured | 1653 | Only Muse Spark 1.3 measured |
| LMArena WebDev: from an image | Not measured | 1640 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.8 | 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 index13
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 47.5 | 55.5 | Muse Spark 1.3 |
| 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 | 1218 | 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 | 1219 | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | Not measured | 1062 | Only Muse Spark 1.3 measured |
| LiveBench research | 69.2% | 68.6% | DeepSeek V4 Flash Vision Exp |
| LiveBench browser | 64.0% | 80.0% | Muse Spark 1.3 |
| LiveBench long agentic | 39.0% | 40.4% | Muse Spark 1.3 |
| Finance Agent (Vals AI) | Not measured | 58.9% | Only Muse Spark 1.3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 36.0% | Only Muse Spark 1.3 measured |
| Legal Research Bench (Vals AI) | Not measured | 40.9% | Only Muse Spark 1.3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.7% | Only Muse Spark 1.3 measured |
| 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 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 85.4% | 89.7% | Muse Spark 1.3 |
| GPQA Diamond (Artificial Analysis run) | 91.3% | 94.1% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 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 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | 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 Flash Vision Exp | 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 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1356 | Only Muse Spark 1.3 measured |
| Design Arena: UI components | Not measured | 1349 | Only Muse Spark 1.3 measured |
| Design Arena: game dev | Not measured | 1328 | Only Muse Spark 1.3 measured |
| Design Arena: data viz | Not measured | 1343 | Only Muse Spark 1.3 measured |
| Design Arena: 3D | Not measured | 1358 | Only Muse Spark 1.3 measured |
| Design Arena: all code categories | Not measured | 1352 | Only Muse Spark 1.3 measured |
| Design Arena: SVG | Not measured | 1301 | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | Not measured | 1278 | Only Muse Spark 1.3 measured |
| LiveBench design | 70.7% | 74.8% | Muse Spark 1.3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.5% | 79.6% | Muse Spark 1.3 |
| Long context reasoning (AA-LCR) | 81.3% | 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 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | 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 Flash Vision Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash Vision Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash Vision Exp 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 Vision Exp | Meta Muse Spark 1.3 |
|---|---|---|
| Maker | DeepSeek | Meta |
| Weights | Open weights | No public weights listed |
| Released | August 21, 2026 | September 2, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.44 | $1.25 |
| Output $/Mtok | $1.32 | $4.25 |
| Coding index | Not benchmarked | 57.4 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash Vision Exp better than Muse Spark 1.3 for coding?
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; DeepSeek V4 Flash Vision Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash Vision Exp for output tokens 3.2x cheaper ($1.32 vs $4.25 per million) and work measured by LiveBench research, where it leads.
Which is cheaper, DeepSeek V4 Flash Vision Exp or Muse Spark 1.3?
DeepSeek V4 Flash Vision Exp costs $0.44 per million input tokens and $1.32 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 Flash Vision Exp or Muse Spark 1.3?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Flash Vision Exp vs Muse Spark 1.3 comparison based on?
14 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash Vision Exp's coding index rests on 1 independent benchmark and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.