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DeepSeek V4 Flash 0423 vs Muse Wonder

Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Flash 0423 Replace Muse Wonder
DeepSeek V4 Flash 0423DeepSeek
Coding
54.6
Overall
24.4
Output $/M
$0.182
0
Muse WonderMeta
Coding
64.5
Overall
No data
Output $/M
$20.00
35
vs boards won of 35 shared

Decision reading

Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 54.6 for DeepSeek V4 Flash 0423.

Pick DeepSeek V4 Flash 0423 when output tokens cost 109.9x less.

Model ADeepSeek V4 Flash 0423DeepSeek54.6/1001 independent benchmarkNo cost per solved taskModel BMuse WonderMeta64.5/1001 independent benchmarkNo cost per solved task
Shared results
35
DeepSeek V4 Flash 0423 only
13
Muse Wonder only
25
Like-for-like categories
7 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.

At a glance

Coding index
DeepSeek V4 Flash 0423 54.6 from 1 benchmark, Muse Wonder 64.5 from 1 benchmark.
Widest category
Web design, 23.9 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: DeepSeek V4 Flash 0423 1189 against Muse Wonder 1425, 29.5 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.182 against Muse Wonder $20.00 per million output tokens, 109.9x 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 WonderTies
Coding05
Intelligence01
Reasoning03
Math02
Knowledge04
Web design06
General014
All shared boards035
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
LMArena WebDev15821652Muse Wonder
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)Not measured83.1%Only Muse Wonder measured
Code migration (Vals AI)Not measured62.5%Only Muse Wonder measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder measured
SWE-bench Multimodal (Vals AI)Not measured45.6%Only Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)Not measured26.6%Only Muse Wonder measured
CyberBench (Vals AI)Not measured80.4%Only Muse Wonder measured
SciCodeNot measured60.3%Only Muse Wonder measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571522Muse Wonder
LMArena Text: software and IT14531515Muse Wonder
LMArena WebDev: React15851641Muse Wonder
LMArena WebDev: HTML15581694Muse Wonder
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
AA Intelligence Index24.4Not measuredOnly DeepSeek V4 Flash 0423 measured
Epoch Capabilities Index146.1161.8Muse Wonder
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: spreadsheetsNot measured1236Only Muse Wonder measured
Finance Agent (Vals AI)Not measured56.6%Only Muse Wonder measured
Tax Agent Bench (Vals AI)Not measured36.3%Only Muse Wonder measured
Legal Research Bench (Vals AI)Not measured50.5%Only Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)Not measured67.1%Only Muse Wonder measured
BioMysteryBench (Vals AI)Not measured67.0%Only Muse Wonder measured
Terminal-Bench-Science (Vals AI)Not measured22.9%Only Muse Wonder measured
Vals Science IndexNot measured39.1%Only Muse Wonder measured
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
Humanity's Last Exam (Artificial Analysis run)Not measured50.1%Only Muse Wonder measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441506Muse Wonder
LMArena Text: expert14411513Muse Wonder
LMArena Text: hard prompts in English14491506Muse Wonder
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
ProofBenchNot measured84.0%Only Muse Wonder measured
LMArena Text: math14261486Muse Wonder
LMArena Text: mathematical work14321514Muse Wonder
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 Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
LMArena Text: science14461506Muse Wonder
LMArena Text: medicine and healthcare14481512Muse Wonder
LMArena Text: legal and government14391505Muse Wonder
LMArena Text: business and finance14251483Muse Wonder
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
Design Arena: websites12081361Muse Wonder
Design Arena: UI components11641371Muse Wonder
Design Arena: game dev11971380Muse Wonder
Design Arena: data viz11271330Muse Wonder
Design Arena: 3D11891425Muse Wonder
Design Arena: all code categories12051370Muse Wonder
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for DeepSeek V4 Flash 0423 and Muse Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
Long context reasoning (AA-LCR)Not measured80.7%Only Muse Wonder measured
DTBench86.4%95.2%Muse Wonder
LMCA35.9%56.8%Muse Wonder
LMArena Text14321502Muse Wonder
LMArena Text: instruction following14211491Muse Wonder
LMArena Text: creative writing14031491Muse Wonder
LMArena Text: English14411507Muse Wonder
LMArena Text: non-English14191492Muse Wonder
LMArena Text: Chinese14631537Muse Wonder
LMArena Text: German1419Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Japanese1389Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Korean1383Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: French14391523Muse Wonder
LMArena Text: Spanish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Russian14271522Muse Wonder
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491510Muse Wonder
LMArena Text: longer queries14341493Muse Wonder
LMArena Text: writing and language14101496Muse Wonder
LMArena Text: entertainment and media14001482Muse Wonder
Neither model has a result on the other 24 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 Wonder
BenchmarkDeepSeek V4 Flash 0423Muse WonderLeader
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$0.0002Fits in one request
Muse Wonder$0.014Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0051Fits in one request
Muse Wonder$0.260Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.020Fits in one request
Muse Wonder$1.00Fits 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 Wonder
SpecificationDeepSeek V4 Flash 0423Meta Muse Wonder
MakerDeepSeekMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026October 12, 2026
Context window1.05M1.05M
Input $/Mtok$0.091$4.00
Output $/Mtok$0.182$20.00
Coding index54.664.5
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Muse Wonder for coding?

Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 54.6 for DeepSeek V4 Flash 0423. Pick DeepSeek V4 Flash 0423 when output tokens cost 109.9x less.

Which is cheaper, DeepSeek V4 Flash 0423 or Muse Wonder?

DeepSeek V4 Flash 0423 costs $0.091 per million input tokens and $0.182 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.

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

Neither: both take 1.05M tokens.

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

35 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Muse Wonder's on 1. Where only one model has a result, the page says so instead of naming a winner.

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