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DeepSeek V4 Flash 0423 vs Muse Spark 1.2

Muse Spark 1.2 leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 39.6 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; 44 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Muse Spark 1.2
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
3
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
41
vs boards won of 44 shared

DeepSeek V4 Flash 0423 or Muse Spark 1.2: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 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.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
44
DeepSeek V4 Flash 0423 only
5
Muse Spark 1.2 only
53
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.

At a glance

Coding index
DeepSeek V4 Flash 0423 not benchmarked, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 16.9 points apart on average over 1 shared benchmark.
Widest single gap
SimpleBench: DeepSeek V4 Flash 0423 46.3% against Muse Spark 1.2 74.5%, 28.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Muse Spark 1.2 $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.

Boards won, where both have a result
CategoryDeepSeek V4 Flash 0423BarsMuse Spark 1.2Ties
Coding34
Intelligence02
Agentic work01
Reasoning04
Math02
Knowledge04
Web design08
General016
All shared boards341
CodingLike-for-likeSix of these boards feed the Vibe Coding Index34
Coding benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev15821534DeepSeek V4 Flash 0423
AA Coding Index52.072.2Muse Spark 1.2
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)Not measured79.1%Only Muse Spark 1.2 measured
Code migration (Vals AI)Not measured29.9%Only Muse Spark 1.2 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.2 measured
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.7%Only Muse Spark 1.2 measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCodeNot measured57.4%Only Muse Spark 1.2 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML45.6%60.3%Muse Spark 1.2
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571505Muse Spark 1.2
LMArena Text: software and IT14531505Muse Spark 1.2
LMArena WebDev: React15851526DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581543DeepSeek V4 Flash 0423
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
AA Intelligence Index24.439.6Muse Spark 1.2
Epoch Capabilities Index146.1155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
AA Agentic Index26.343.2Muse Spark 1.2
Design Arena: agents building web appsNot measured1221Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1181Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1172Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)Not measured60.6%Only Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Muse Spark 1.2 measured
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)Not measured86.1%Only Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)Not measured90.4%Only Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)Not measured45.5%Only Muse Spark 1.2 measured
SimpleBench46.3%74.5%Muse Spark 1.2
Chess puzzlesNot measured27.0%Only Muse Spark 1.2 measured
LMArena Text: hard prompts14441489Muse Spark 1.2
LMArena Text: expert14411475Muse Spark 1.2
LMArena Text: hard prompts in English14491487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 measured
Kagi LLM Benchmark52.2%Not measuredOnly 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 index02
Math benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
ProofBenchNot measured43.0%Only Muse Spark 1.2 measured
LMArena Text: math14261484Muse Spark 1.2
LMArena Text: mathematical work14321480Muse Spark 1.2
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
MMLU ProNot measured88.3%Only Muse Spark 1.2 measured
LegalBench (Vals AI)Not measured85.3%Only Muse Spark 1.2 measured
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)Not measured80.4%Only Muse Spark 1.2 measured
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)Not measured49.4%Only Muse Spark 1.2 measured
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science14461500Muse Spark 1.2
LMArena Text: medicine and healthcare14481496Muse Spark 1.2
LMArena Text: legal and government14391517Muse Spark 1.2
LMArena Text: business and finance14251484Muse Spark 1.2
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
Design Arena: websites12071312Muse Spark 1.2
Design Arena: UI components11621298Muse Spark 1.2
Design Arena: game dev11961301Muse Spark 1.2
Design Arena: data viz11271334Muse Spark 1.2
Design Arena: 3D11881301Muse Spark 1.2
Design Arena: all code categories12051312Muse Spark 1.2
Design Arena: SVG11551284Muse Spark 1.2
Design Arena: ASCII art11091284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)Not measured47.7%Only Muse Spark 1.2 measured
MedScribe (Vals AI)Not measured90.1%Only Muse Spark 1.2 measured
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)Not measured79.0%Only Muse Spark 1.2 measured
DTBench86.4%94.7%Muse Spark 1.2
LMCA35.9%48.4%Muse Spark 1.2
LMArena Text14321482Muse Spark 1.2
LMArena Text: instruction following14211462Muse Spark 1.2
LMArena Text: creative writing14031436Muse Spark 1.2
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English14411483Muse Spark 1.2
LMArena Text: non-English14191476Muse Spark 1.2
LMArena Text: Chinese14631509Muse Spark 1.2
LMArena Text: German1419Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Japanese1389Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Korean13831462Muse Spark 1.2
LMArena Text: French14391495Muse Spark 1.2
LMArena Text: Spanish14361484Muse Spark 1.2
LMArena Text: Russian14271483Muse Spark 1.2
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491502Muse Spark 1.2
LMArena Text: longer queries14341473Muse Spark 1.2
LMArena Text: writing and language14101453Muse Spark 1.2
LMArena Text: entertainment and media14001443Muse Spark 1.2
LMArena Vision: EnglishNot measured1291Only Muse Spark 1.2 measured
LMArena Vision: reading textNot measured1313Only Muse Spark 1.2 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
Image generation benchmarks for DeepSeek V4 Flash 0423 and Muse Spark 1.2
BenchmarkDeepSeek V4 Flash 0423Muse Spark 1.2Leader
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$0.0003Fits in one request
Muse Spark 1.2$0.0034Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Muse Spark 1.2$0.075Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Muse Spark 1.2$0.292Fits in one request

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.

Specifications of DeepSeek V4 Flash 0423 and Muse Spark 1.2
SpecificationDeepSeek V4 Flash 0423Meta Muse Spark 1.2
MakerDeepSeekMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.14$1.25
Output $/Mtok$0.28$4.25
Coding indexNot benchmarked55.7
Independent measurements behind it15
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Muse Spark 1.2 for coding?

Only Muse Spark 1.2 has a coding score, 55.7 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 1.2?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Muse Spark 1.2?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Muse Spark 1.2 comparison based on?

44 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 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.

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