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R1 0528 vs Muse Spark 1.3

Muse Spark 1.3 leads R1 0528 on the Artificial Analysis Intelligence Index, 48.1 to 13.1, and R1 0528 costs 1.9x less per output token ($2.18 vs $4.25 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace R1 0528 Replace Muse Spark 1.3
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
44
vs boards won of 44 shared

R1 0528 or Muse Spark 1.3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding.

Pick R1 0528 for output tokens 1.9x cheaper ($2.18 vs $4.25 per million).

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
44
R1 0528 only
19
Muse Spark 1.3 only
52
Like-for-like categories
7 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
R1 0528 not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Intelligence, 35.0 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: R1 0528 13.1 against Muse Spark 1.3 48.1, 35.0 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against Muse Spark 1.3 $4.25 per million output tokens, 1.9x apart.
Context window
R1 0528 takes 164K tokens, Muse Spark 1.3 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.

Boards won, where both have a result
CategoryR1 0528BarsMuse Spark 1.3Ties
Coding03
Intelligence01
Reasoning05
Math04
Knowledge06
Web design07
General018
All shared boards044
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly R1 0528 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.11688.3Muse Spark 1.3
LMArena Text: coding14271510Muse Spark 1.3
LMArena Text: software and IT14351511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only 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
Intelligence benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
AA Intelligence Index13.148.1Muse Spark 1.3
Epoch Capabilities IndexNot measured157.2Only Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1075Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom36.5%Not measuredOnly R1 0528 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)81.3%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)15.8%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts14151503Muse Spark 1.3
LMArena Text: expert13941519Muse Spark 1.3
LMArena Text: hard prompts in English14221500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001497Muse Spark 1.3
LMArena Text: mathematical work14151491Muse Spark 1.3
MathArena12.9%43.0%Muse Spark 1.3
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301507Muse Spark 1.3
LMArena Text: medicine and healthcare14451493Muse Spark 1.3
LMArena Text: legal and government14191499Muse Spark 1.3
LMArena Text: business and finance14021490Muse Spark 1.3
PRBench Finance32.7%59.5%Muse Spark 1.3
PRBench Legal36.6%61.6%Muse Spark 1.3
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
Design Arena: websites11491356Muse Spark 1.3
Design Arena: UI components11001350Muse Spark 1.3
Design Arena: game dev10971328Muse Spark 1.3
Design Arena: data viz11821344Muse Spark 1.3
Design Arena: 3D11101358Muse Spark 1.3
Design Arena: all code categories11381352Muse Spark 1.3
Design Arena: SVG10381301Muse Spark 1.3
Design Arena: ASCII artNot measured1283Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench39.6%Not measuredOnly R1 0528 measured
Long context reasoning (AA-LCR)55.7%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281490Muse Spark 1.3
LMArena Text: instruction following13821479Muse Spark 1.3
LMArena Text: creative writing14051462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English14371495Muse Spark 1.3
LMArena Text: non-English14121481Muse Spark 1.3
LMArena Text: Chinese14421532Muse Spark 1.3
LMArena Text: German14041513Muse Spark 1.3
LMArena Text: Japanese13911470Muse Spark 1.3
LMArena Text: Korean13601490Muse Spark 1.3
LMArena Text: French14171511Muse Spark 1.3
LMArena Text: Spanish14111496Muse Spark 1.3
LMArena Text: Russian14231491Muse Spark 1.3
LMArena Text: Polish14281490Muse Spark 1.3
LMArena Text: multi-turn14051487Muse Spark 1.3
LMArena Text: longer queries13911488Muse Spark 1.3
LMArena Text: writing and language14021470Muse Spark 1.3
LMArena Text: entertainment and media14001457Muse Spark 1.3
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 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 R1 0528 and Muse Spark 1.3
BenchmarkR1 0528Muse Spark 1.3Leader
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

R1 0528$0.0016Fits in one request
Muse Spark 1.3$0.0034Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
Muse Spark 1.3$0.075Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

R1 0528 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 R1 0528 and Muse Spark 1.3
SpecificationDeepSeek R1 0528Meta Muse Spark 1.3
MakerDeepSeekMeta
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025September 2, 2026
Context window164K1.05M
Input $/Mtok$0.50$1.25
Output $/Mtok$2.18$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Muse Spark 1.3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding. Pick R1 0528 for output tokens 1.9x cheaper ($2.18 vs $4.25 per million).

Which is cheaper, R1 0528 or Muse Spark 1.3?

R1 0528 costs $0.50 per million input tokens and $2.18 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, R1 0528 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs Muse Spark 1.3 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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