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Muse Spark 1.1 vs Beam 1.0 501B A23B

Beam 1.0 501B A23B costs 3.9x less per output token than Muse Spark 1.1 ($1.10 vs $4.25 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
28
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
0
vs boards won of 28 shared

Muse Spark 1.1 or Beam 1.0 501B A23B: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding.

Pick Beam 1.0 501B A23B for output tokens 3.9x cheaper ($1.10 vs $4.25 per million).

Shared results
28
Muse Spark 1.1 only
68
Beam 1.0 501B A23B only
0
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.

At a glance

Coding index
Muse Spark 1.1 70.3 from 3 benchmarks, Beam 1.0 501B A23B not benchmarked.
Widest category
Coding, 11.5 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Muse Spark 1.1 1540 against Beam 1.0 501B A23B 1436, 17.3 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Beam 1.0 501B A23B $1.10 per million output tokens, 3.9x 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
CategoryMuse Spark 1.1BarsBeam 1.0 501B A23BTies
Coding50
Reasoning30
Math20
Knowledge40
Web design20
General120
All shared boards280
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
LMArena WebDev15421437Muse Spark 1.1
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)72.2%Not measuredOnly Muse Spark 1.1 measured
Code migration (Vals AI)31.1%Not measuredOnly Muse Spark 1.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: coding14981473Muse Spark 1.1
LMArena Text: software and IT14981461Muse Spark 1.1
LMArena WebDev: React15321443Muse Spark 1.1
LMArena WebDev: HTML15401436Muse Spark 1.1
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
AA Intelligence Index33.7Not measuredOnly Muse Spark 1.1 measured
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
AA Agentic Index25.8Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1175Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1195Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1155Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1042Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%Not measuredOnly Muse Spark 1.1 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)56.4%Not measuredOnly Muse Spark 1.1 measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520Not measuredOnly 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 index30
Reasoning benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
GPQA Diamond91.2%Not measuredOnly Muse Spark 1.1 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%Not measuredOnly Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)46.2%Not measuredOnly Muse Spark 1.1 measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851442Muse Spark 1.1
LMArena Text: expert14781447Muse Spark 1.1
LMArena Text: hard prompts in English14801451Muse Spark 1.1
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math14821459Muse Spark 1.1
LMArena Text: mathematical work14871475Muse 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 index40
Knowledge benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
MMLU Pro88.7%Not measuredOnly Muse Spark 1.1 measured
LegalBench (Vals AI)85.0%Not measuredOnly Muse Spark 1.1 measured
CorpFin (Vals AI)71.3%Not measuredOnly Muse Spark 1.1 measured
TaxEval (Vals AI)79.7%Not measuredOnly Muse Spark 1.1 measured
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: science14841430Muse Spark 1.1
LMArena Text: medicine and healthcare14791376Muse Spark 1.1
LMArena Text: legal and government14811433Muse Spark 1.1
LMArena Text: business and finance14701430Muse Spark 1.1
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
Design Arena: websites12701250Muse Spark 1.1
Design Arena: UI components1289Not measuredOnly Muse Spark 1.1 measured
Design Arena: game dev12691224Muse Spark 1.1
Design Arena: data viz1268Not measuredOnly Muse Spark 1.1 measured
Design Arena: 3D1260Not measuredOnly Muse Spark 1.1 measured
Design Arena: all code categories1276Not measuredOnly Muse Spark 1.1 measured
Design Arena: SVG1235Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1271Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
Long context reasoning (AA-LCR)77.7%Not measuredOnly Muse Spark 1.1 measured
DTBench94.4%Not measuredOnly Muse Spark 1.1 measured
LMCA49.9%Not measuredOnly Muse Spark 1.1 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781425Muse Spark 1.1
LMArena Text: instruction following14571430Muse Spark 1.1
LMArena Text: creative writing14351390Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781436Muse Spark 1.1
LMArena Text: non-English14711413Muse Spark 1.1
LMArena Text: Chinese15151424Muse Spark 1.1
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1459Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French14921461Muse Spark 1.1
LMArena Text: Spanish1464Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian14821412Muse Spark 1.1
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn14841414Muse Spark 1.1
LMArena Text: longer queries14621429Muse Spark 1.1
LMArena Text: writing and language14481400Muse Spark 1.1
LMArena Text: entertainment and media14381399Muse Spark 1.1
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly 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
Image generation benchmarks for Muse Spark 1.1 and Beam 1.0 501B A23B
BenchmarkMuse Spark 1.1Beam 1.0 501B A23BLeader
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

Muse Spark 1.1$0.0034Fits in one request
Beam 1.0 501B A23B$0.0009Fits in one request

Beam 1.0 501B A23B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Beam 1.0 501B A23B$0.021Fits in one request

Beam 1.0 501B A23B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Beam 1.0 501B A23B$0.081Fits in one request

Beam 1.0 501B A23B 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 Muse Spark 1.1 and Beam 1.0 501B A23B
SpecificationMeta Muse Spark 1.1Reflection Beam 1.0 501B A23B
MakerMetaReflection
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026October 16, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.35
Output $/Mtok$4.25$1.10
Coding index70.3Not benchmarked
Independent measurements behind it31
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Beam 1.0 501B A23B for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for output tokens 3.9x cheaper ($1.10 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Beam 1.0 501B A23B?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Beam 1.0 501B A23B?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.1 vs Beam 1.0 501B A23B comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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