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Muse Spark 1.1 vs Qwen3 235B A22B Thinking 2507

Muse Spark 1.1 leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 33.7 to 12.7, and Qwen3 235B A22B Thinking 2507 costs 1.2x less per output token ($3.50 vs $4.25 per million). Updated October 23, 2026; 40 benchmarks have a result for both.

Replace Muse Spark 1.1 Replace Qwen3 235B A22B Thinking 2507
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
40
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
0
vs boards won of 40 shared

Muse Spark 1.1 or Qwen3 235B A22B Thinking 2507: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 235B A22B Thinking 2507 for output tokens 1.2x cheaper ($3.50 vs $4.25 per million).

Model AMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
40
Muse Spark 1.1 only
64
Qwen3 235B A22B Thinking 2507 only
6
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
Muse Spark 1.1 70.3 from 3 benchmarks, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Web design, 35.4 points apart on average over 6 shared benchmarks.
Widest single gap
AA Coding Index: Muse Spark 1.1 71.3 against Qwen3 235B A22B Thinking 2507 22.1, 49.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 1.2x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Qwen3 235B A22B Thinking 2507 128K.

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 1.1BarsQwen3 235B A22B Thinking 2507Ties
Coding30
Intelligence10
Agentic work20
Reasoning30
Math20
Knowledge50
Web design60
General180
All shared boards400
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
LMArena WebDev1543Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.322.1Muse Spark 1.1
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
WeirdMLNot measured41.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: coding14981424Muse Spark 1.1
LMArena Text: software and IT14981431Muse Spark 1.1
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1539Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Codebase QnA42.2%Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Test Writing41.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
AA Intelligence Index33.712.7Muse Spark 1.1
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
AA Agentic Index25.81.3Muse Spark 1.1
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 apps1173Not 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 slides1108Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1122Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1013Not 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$6,520-$11Muse Spark 1.1
MCP Atlas88.1%Not 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 Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
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
GPQA Diamond (Epoch AI run)Not measured80.1%Only Qwen3 235B A22B Thinking 2507 measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts14851416Muse Spark 1.1
LMArena Text: expert14781463Muse Spark 1.1
LMArena Text: hard prompts in English14801432Muse 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 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
OTIS Mock AIMENot measured86.7%Only Qwen3 235B A22B Thinking 2507 measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math14811412Muse Spark 1.1
LMArena Text: mathematical work14851435Muse Spark 1.1
MathArena42.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
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%40.4%Muse Spark 1.1
LMArena Text: science14831433Muse Spark 1.1
LMArena Text: medicine and healthcare14801456Muse Spark 1.1
LMArena Text: legal and government14821415Muse Spark 1.1
LMArena Text: business and finance14701412Muse Spark 1.1
PRBench Finance55.0%Not measuredOnly Muse Spark 1.1 measured
PRBench Legal57.0%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
Design Arena: websites12701052Muse Spark 1.1
Design Arena: UI components1286942Muse Spark 1.1
Design Arena: game dev1269956Muse Spark 1.1
Design Arena: data viz1267950Muse Spark 1.1
Design Arena: 3D1259998Muse Spark 1.1
Design Arena: all code categories12761032Muse Spark 1.1
Design Arena: SVG1233Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1267Not 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 index180
General benchmarks for Muse Spark 1.1 and Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
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%80.3%Muse Spark 1.1
LMCA49.9%29.3%Muse Spark 1.1
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781415Muse Spark 1.1
LMArena Text: instruction following14561386Muse Spark 1.1
LMArena Text: creative writing14351384Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781429Muse Spark 1.1
LMArena Text: non-English14711397Muse Spark 1.1
LMArena Text: Chinese15151481Muse Spark 1.1
LMArena Text: German14691408Muse Spark 1.1
LMArena Text: Japanese14501386Muse Spark 1.1
LMArena Text: Korean14571375Muse Spark 1.1
LMArena Text: French1494Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish14621389Muse Spark 1.1
LMArena Text: Russian14811400Muse Spark 1.1
LMArena Text: Polish14971390Muse Spark 1.1
LMArena Text: multi-turn14841406Muse Spark 1.1
LMArena Text: longer queries14611399Muse Spark 1.1
LMArena Text: writing and language14471388Muse Spark 1.1
LMArena Text: entertainment and media14371370Muse 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
MultiChallenge75.3%Not measuredOnly Muse Spark 1.1 measured
EQ-Bench 41260Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 12 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 Qwen3 235B A22B Thinking 2507
BenchmarkMuse Spark 1.1Qwen3 235B A22B Thinking 2507Leader
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
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Qwen3 235B A22B Thinking 2507 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 Qwen3 235B A22B Thinking 2507
SpecificationMeta Muse Spark 1.1Qwen3 235B A22B Thinking 2507
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026July 25, 2025
Context window1.05M128K
Input $/Mtok$1.25$0.45
Output $/Mtok$4.25$3.50
Coding index70.3Not benchmarked
Independent measurements behind it30
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen3 235B A22B Thinking 2507 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for output tokens 1.2x cheaper ($3.50 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Qwen3 235B A22B Thinking 2507?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Qwen3 235B A22B Thinking 2507?

Muse Spark 1.1, with 1.05M tokens against 128K.

How many benchmarks is the Muse Spark 1.1 vs Qwen3 235B A22B Thinking 2507 comparison based on?

40 benchmarks have a result for both models as of October 23, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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