Muse Spark 1.1 vs Qwen3.8 Max (0902)

Muse Spark 1.1 leads Qwen3.8 Max (0902) on coding, 70.3 to 62.4 on the Vibe Coding Index, and Muse Spark 1.1 costs 1.4x less per output token ($4.25 vs $6.00 per million). Updated October 22, 2026; 90 benchmarks have a result for both.

Replace Muse Spark 1.1 Replace Qwen3.8 Max (0902)

Muse Spark 1.1Meta

Coding: 70.3
Overall: 67.0
Output $/M: $4.25

Qwen3.8 Max (0902)Qwen

Coding: 62.4
Overall: 68.9
Output $/M: $6.00

vs boards won of 90 shared, 1 tied

Muse Spark 1.1 or Qwen3.8 Max (0902): which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902), though on 3 benchmarks against 5.

Pick Qwen3.8 Max (0902) for work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

901424

Shared results: 90
Muse Spark 1.1 only: 14
Qwen3.8 Max (0902) only: 24
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.

Coding
Vibe Coding Index, six public coding benchmarks
Muse Spark 1.1
Muse Spark 1.1 scores 70.3 against 62.4.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 33.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 25.8.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% against 91.2%.
Same board, both measured
Knowledge
MMLU Pro
Muse Spark 1.1
Muse Spark 1.1 leads, 88.7% against 88.6%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 against 1270.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.1
Muse Spark 1.1 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.1
Muse Spark 1.1 $0.0034, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Muse Spark 1.1
Muse Spark 1.1 $0.43, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: Muse Spark 1.1 70.3 from 3 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Agentic work, 12.2 points apart on average over 12 shared benchmarks.
Widest single gap: APEX-Agents: Muse Spark 1.1 31.8% against Qwen3.8 Max (0902) 63.3%, 31.5 points apart on a 0 to 100 scale.
Output price: Muse Spark 1.1 $4.25 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.4x apart.
Context window: Muse Spark 1.1 takes 1.05M tokens, Qwen3.8 Max (0902) 1M.

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
Category	Muse Spark 1.1	Qwen3.8 Max (0902)	Ties
Coding	5	9	1 tie
Intelligence	0	2
Agentic work	2	10
Reasoning	1	9
Math	0	4
Knowledge	6	4
Web design	1	6
General	5	25
All shared boards	20	69	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index59

Coding benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
LiveBench coding	Not measured	60.3%	Only Qwen3.8 Max (0902) measured
LMArena WebDev	1542	1674	Qwen3.8 Max (0902)
AA Coding Index	71.3	76.2	Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)	85.9%	87.8%	Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)	82.0%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	Not measured	34.3%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)	72.2%	64.7%	Muse Spark 1.1
Code migration (Vals AI)	31.1%	24.0%	Muse Spark 1.1
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	Not measured	68.9%	Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)	69.3%	67.4%	Muse Spark 1.1
SWE-bench Multimodal (Vals AI)	Not measured	42.5%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	12.8%	Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)	59.2%	42.0%	Muse Spark 1.1
CyberBench (Vals AI)	Not measured	28.6%	Only Qwen3.8 Max (0902) measured
SciCode	58.8%	53.2%	Muse Spark 1.1
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
LMArena Text: coding	1498	1502	Qwen3.8 Max (0902)
LMArena Text: software and IT	1498	1498	Qwen3.8 Max (0902)
LMArena WebDev: React	1532	1692	Qwen3.8 Max (0902)
LMArena WebDev: HTML	1540	1649	Qwen3.8 Max (0902)
LMArena WebDev: from an image	1540	1637	Qwen3.8 Max (0902)
SWE Atlas: Codebase QnA	42.2%	Not measured	Only Muse Spark 1.1 measured
SWE Atlas: Test Writing	41.5%	Not measured	Only Muse Spark 1.1 measured
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 Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	33.7	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	154.1	157.4	Qwen3.8 Max (0902)

Agentic workLike-for-likePublic boards, shown as published, kept out of the index210

Agentic work benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
AA Agentic Index	25.8	56.0	Qwen3.8 Max (0902)
Design Arena: agents building web apps	1207	1300	Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps	1199	1305	Qwen3.8 Max (0902)
Design Arena: agents building mobile apps	1175	1224	Qwen3.8 Max (0902)
Design Arena: agents building Android apps	1178	1190	Qwen3.8 Max (0902)
Design Arena: agents building Godot games	1103	1234	Qwen3.8 Max (0902)
Design Arena: agents building games	1183	Not measured	Only Muse Spark 1.1 measured
Design Arena: HTML slides	1145	Not measured	Only Muse Spark 1.1 measured
Design Arena: PowerPoint slides	1134	1232	Qwen3.8 Max (0902)
Design Arena: spreadsheets	1021	993	Muse Spark 1.1
LiveBench research	Not measured	69.9%	Only Qwen3.8 Max (0902) measured
LiveBench browser	Not measured	32.0%	Only Qwen3.8 Max (0902) measured
LiveBench long agentic	Not measured	42.3%	Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)	57.2%	50.6%	Muse Spark 1.1
Tax Agent Bench (Vals AI)	Not measured	32.1%	Only Qwen3.8 Max (0902) measured
Legal Research Bench (Vals AI)	38.0%	47.6%	Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)	56.4%	60.1%	Qwen3.8 Max (0902)
Terminal-Bench-Science (Vals AI)	Not measured	12.9%	Only Qwen3.8 Max (0902) measured
Time Horizon Index (Vals AI)	1.7%	Not measured	Only Muse Spark 1.1 measured
APEX-Agents	31.8%	63.3%	Qwen3.8 Max (0902)
Vending-Bench 2	$6,520	Not measured	Only Muse Spark 1.1 measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
MCP Atlas	88.1%	Not measured	Only Muse Spark 1.1 measured
Neither model has a result on the other 19 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index19

Reasoning benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
GPQA Diamond	91.2%	93.7%	Qwen3.8 Max (0902)
LiveBench reasoning	Not measured	88.2%	Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)	Not measured	23.9%	Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)	86.6%	88.0%	Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)	89.8%	92.8%	Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)	46.2%	43.1%	Muse Spark 1.1
GPQA Diamond (Epoch AI run)	Not measured	92.7%	Only Qwen3.8 Max (0902) measured
Chess puzzles	34.0%	46.0%	Qwen3.8 Max (0902)
Mystery game puzzles	Not measured	38.0%	Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts	1485	1496	Qwen3.8 Max (0902)
LMArena Text: expert	1478	1507	Qwen3.8 Max (0902)
LMArena Text: hard prompts in English	1480	1503	Qwen3.8 Max (0902)
LMArena Vision: diagrams	1305	1323	Qwen3.8 Max (0902)
LMArena Vision: homework	1287	1336	Qwen3.8 Max (0902)
Neither model has a result on the other 9 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index04

Math benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
OTIS Mock AIME	Not measured	100.0%	Only Qwen3.8 Max (0902) measured
FrontierMath, tiers 1 to 3	Not measured	74.7%	Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4	Not measured	46.3%	Only Qwen3.8 Max (0902) measured
ProofBench	39.0%	58.0%	Qwen3.8 Max (0902)
LMArena Text: math	1482	1501	Qwen3.8 Max (0902)
LMArena Text: mathematical work	1487	1491	Qwen3.8 Max (0902)
MathArena	42.5%	51.6%	Qwen3.8 Max (0902)
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64

Knowledge benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
MMLU Pro	88.7%	88.6%	Muse Spark 1.1
LegalBench (Vals AI)	85.0%	83.6%	Muse Spark 1.1
CorpFin (Vals AI)	71.3%	65.8%	Muse Spark 1.1
TaxEval (Vals AI)	79.7%	75.5%	Muse Spark 1.1
MortgageTax (Vals AI)	66.1%	64.0%	Muse Spark 1.1
MedCode (Vals AI)	Not measured	40.7%	Only Qwen3.8 Max (0902) measured
SimpleQA Verified	57.8%	47.3%	Muse Spark 1.1
LMArena Text: science	1484	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1479	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1481	1492	Qwen3.8 Max (0902)
LMArena Text: business and finance	1470	1480	Qwen3.8 Max (0902)
PRBench Finance	55.0%	Not measured	Only Muse Spark 1.1 measured
PRBench Legal	57.0%	Not measured	Only Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index16

Web design benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1270	1275	Qwen3.8 Max (0902)
Design Arena: UI components	1287	1336	Qwen3.8 Max (0902)
Design Arena: game dev	1269	1312	Qwen3.8 Max (0902)
Design Arena: data viz	1267	1282	Qwen3.8 Max (0902)
Design Arena: 3D	1259	1336	Qwen3.8 Max (0902)
Design Arena: all code categories	1276	1292	Qwen3.8 Max (0902)
Design Arena: SVG	1234	Not measured	Only Muse Spark 1.1 measured
Design Arena: ASCII art	1269	1200	Muse Spark 1.1
LiveBench design	Not measured	78.6%	Only Qwen3.8 Max (0902) measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index525

General benchmarks for Muse Spark 1.1 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
LiveBench data analysis	Not measured	78.4%	Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)	61.3%	67.1%	Qwen3.8 Max (0902)
SAGE (Vals AI)	45.6%	51.2%	Qwen3.8 Max (0902)
MedScribe (Vals AI)	88.9%	85.0%	Muse Spark 1.1
Vals Multimodal Index	66.7%	65.4%	Muse Spark 1.1
Long context reasoning (AA-LCR)	77.7%	80.3%	Qwen3.8 Max (0902)
DTBench	94.4%	92.0%	Muse Spark 1.1
LMCA	49.9%	46.2%	Muse Spark 1.1
Surface Evolver Bench	52.5%	Not measured	Only Muse Spark 1.1 measured
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
LMArena Text	1478	1483	Qwen3.8 Max (0902)
LMArena Text: instruction following	1457	1481	Qwen3.8 Max (0902)
LMArena Text: creative writing	1435	1477	Qwen3.8 Max (0902)
LMArena Vision	1293	1313	Qwen3.8 Max (0902)
LMArena Text: English	1478	1491	Qwen3.8 Max (0902)
LMArena Text: non-English	1471	1473	Qwen3.8 Max (0902)
LMArena Text: Chinese	1515	1539	Qwen3.8 Max (0902)
LMArena Text: German	1469	1478	Qwen3.8 Max (0902)
LMArena Text: Japanese	1450	1473	Qwen3.8 Max (0902)
LMArena Text: Korean	1459	1460	Qwen3.8 Max (0902)
LMArena Text: French	1492	1498	Qwen3.8 Max (0902)
LMArena Text: Spanish	1464	1489	Qwen3.8 Max (0902)
LMArena Text: Russian	1482	1482	Qwen3.8 Max (0902)
LMArena Text: Polish	1499	1471	Muse Spark 1.1
LMArena Text: multi-turn	1484	1489	Qwen3.8 Max (0902)
LMArena Text: longer queries	1462	1488	Qwen3.8 Max (0902)
LMArena Text: writing and language	1448	1477	Qwen3.8 Max (0902)
LMArena Text: entertainment and media	1438	1464	Qwen3.8 Max (0902)
LMArena Vision: English	1292	1311	Qwen3.8 Max (0902)
LMArena Vision: Chinese	1348	1358	Qwen3.8 Max (0902)
LMArena Vision: reading text	1301	1322	Qwen3.8 Max (0902)
LMArena Vision: humor	1288	1304	Qwen3.8 Max (0902)
LMArena Vision: creative writing	1253	1312	Qwen3.8 Max (0902)
LMArena Document	1465	Not measured	Only Muse Spark 1.1 measured
MultiChallenge	75.3%	Not measured	Only Muse Spark 1.1 measured
EQ-Bench 4	1260	Not measured	Only 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 Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.1	Qwen3.8 Max (0902)	Leader
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

Qwen3.8 Max (0902)$0.0050Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request

Qwen3.8 Max (0902)$0.118Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request

Qwen3.8 Max (0902)$0.460Fits in one request

Muse Spark 1.1 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 Qwen3.8 Max (0902)
Specification	Meta Muse Spark 1.1	Qwen3.8 Max (0902)
Maker	Meta	Qwen
Weights	No public weights listed	No public weights listed
Released	July 16, 2026	September 3, 2026
Context window	1.05M	1M
Input $/Mtok	$1.25	$2.00
Output $/Mtok	$4.25	$6.00
Coding index	70.3	62.4
Independent measurements behind it	3	5
Cost per solved task	$0.43	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen3.8 Max (0902) for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902), though on 3 benchmarks against 5. Pick Qwen3.8 Max (0902) for work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Muse Spark 1.1 or Qwen3.8 Max (0902)?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Muse Spark 1.1 costs $0.43 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Muse Spark 1.1 or Qwen3.8 Max (0902)?

Muse Spark 1.1, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.1 vs Qwen3.8 Max (0902) comparison based on?

90 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 Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-spark-1-1-vs-qwen3-8-max-0902" title="Muse Spark 1.1 vs Qwen3.8 Max (0902), LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-1-vs-qwen3-8-max-0902">LLMBenchmark.ai, Muse Spark 1.1 vs Qwen3.8 Max (0902)</a></p>

Muse Spark 1.1 or Qwen3.8 Max (0902): which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next