Muse Spark 1.3 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Muse Spark 1.3 on coding, 62.4 to 57.4 on the Vibe Coding Index, and Muse Spark 1.3 costs 1.4x less per output token ($4.25 vs $6.00 per million). Updated October 22, 2026; 91 benchmarks have a result for both.

Replace Muse Spark 1.3 Replace Qwen3.8 Max (0902)

Muse Spark 1.3Meta

Coding: 57.4
Overall: 68.6
Output $/M: $4.25

Qwen3.8 Max (0902)Qwen

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

vs boards won of 91 shared, 2 tied

Muse Spark 1.3 or Qwen3.8 Max (0902): which to pick

Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3.

Pick Muse Spark 1.3 for output tokens 1.4x cheaper ($4.25 vs $6.00 per million) and a larger context window (1.05M against 1M tokens).

Model AMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

91523

Shared results: 91
Muse Spark 1.3 only: 5
Qwen3.8 Max (0902) only: 23
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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) scores 62.4 against 57.4.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 45.4.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 55.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.8 Max (0902) has a GPQA Diamond result, 93.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 Max (0902) has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1275.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.3
Muse Spark 1.3 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.3
Muse Spark 1.3 $0.0034, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 Max (0902) has the number, $1.32.
Directional only

At a glance

Coding index: Muse Spark 1.3 57.4 from 4 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Coding, 10.3 points apart on average over 17 shared benchmarks.
Widest single gap: LiveBench browser: Muse Spark 1.3 80.0% against Qwen3.8 Max (0902) 32.0%, 48.0 points apart on a 0 to 100 scale.
Output price: Muse Spark 1.3 $4.25 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.4x apart.
Context window: Muse Spark 1.3 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 1.3	Qwen3.8 Max (0902)	Ties
Coding	12	5
Intelligence	1	1
Agentic work	6	10
Reasoning	6	4
Math	1	4	2 ties
Knowledge	2	2
Web design	7	1
General	14	13
All shared boards	49	40	2 ties

CodingLike-for-likeSix of these boards feed the Vibe Coding Index125

Coding benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
LiveBench coding	90.2%	60.3%	Muse Spark 1.3
LMArena WebDev	1659	1674	Qwen3.8 Max (0902)
AA Coding Index	75.8	76.2	Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)	Not measured	87.8%	Only Qwen3.8 Max (0902) measured
SWE-bench Verified (Vals AI)	Not measured	85.6%	Only Qwen3.8 Max (0902) measured
Terminal-Bench 4 (Vals AI)	10.6%	34.3%	Qwen3.8 Max (0902)
Vibe Code Bench (Vals AI)	82.9%	64.7%	Muse Spark 1.3
Code migration (Vals AI)	27.6%	24.0%	Muse Spark 1.3
ProgramBench (Vals AI)	0.5%	0.0%	Muse Spark 1.3
IOI (Vals AI)	43.9%	68.9%	Qwen3.8 Max (0902)
Terminal-Bench 2.1 (Vals AI)	72.3%	67.4%	Muse Spark 1.3
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)	Not measured	42.0%	Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)	69.4%	28.6%	Muse Spark 1.3
SciCode	59.7%	53.2%	Muse Spark 1.3
FrontierSWE	25.8%	17.8%	Muse Spark 1.3
ALE-Bench	1688.3	Not measured	Only Muse Spark 1.3 measured
LMArena Text: coding	1510	1502	Muse Spark 1.3
LMArena Text: software and IT	1511	1498	Muse Spark 1.3
LMArena WebDev: React	1672	1692	Qwen3.8 Max (0902)
LMArena WebDev: HTML	1653	1649	Muse Spark 1.3
LMArena WebDev: from an image	1640	1637	Muse Spark 1.3
Neither model has a result on the other 20 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11

Intelligence benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	48.1	45.4	Muse Spark 1.3
Epoch Capabilities Index	157.2	157.4	Qwen3.8 Max (0902)

Agentic workLike-for-likePublic boards, shown as published, kept out of the index610

Agentic work benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
AA Agentic Index	55.5	56.0	Qwen3.8 Max (0902)
Design Arena: agents building web apps	1297	1300	Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps	1295	1305	Qwen3.8 Max (0902)
Design Arena: agents building mobile apps	1217	1224	Qwen3.8 Max (0902)
Design Arena: agents building Android apps	Not measured	1190	Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot games	1241	1234	Muse Spark 1.3
Design Arena: PowerPoint slides	1217	1232	Qwen3.8 Max (0902)
Design Arena: spreadsheets	1075	993	Muse Spark 1.3
LiveBench research	68.6%	69.9%	Qwen3.8 Max (0902)
LiveBench browser	80.0%	32.0%	Muse Spark 1.3
LiveBench long agentic	40.4%	42.3%	Qwen3.8 Max (0902)
Finance Agent (Vals AI)	58.9%	50.6%	Muse Spark 1.3
Tax Agent Bench (Vals AI)	36.0%	32.1%	Muse Spark 1.3
Legal Research Bench (Vals AI)	40.9%	47.6%	Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)	62.7%	60.1%	Muse Spark 1.3
Terminal-Bench-Science (Vals AI)	4.3%	12.9%	Qwen3.8 Max (0902)
APEX-Agents	58.6%	63.3%	Qwen3.8 Max (0902)
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 24 boards here

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

Reasoning benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
GPQA Diamond	Not measured	93.7%	Only Qwen3.8 Max (0902) measured
LiveBench reasoning	89.7%	88.2%	Muse Spark 1.3
MysteryMechanism (Vals AI)	Not measured	23.9%	Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)	Not measured	88.0%	Only Qwen3.8 Max (0902) measured
GPQA Diamond (Artificial Analysis run)	94.1%	92.8%	Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)	48.7%	43.1%	Muse Spark 1.3
GPQA Diamond (Epoch AI run)	Not measured	92.7%	Only Qwen3.8 Max (0902) measured
Chess puzzles	37.0%	46.0%	Qwen3.8 Max (0902)
Mystery game puzzles	25.0%	38.0%	Qwen3.8 Max (0902)
LMArena Text: hard prompts	1503	1496	Muse Spark 1.3
LMArena Text: expert	1519	1507	Muse Spark 1.3
LMArena Text: hard prompts in English	1500	1503	Qwen3.8 Max (0902)
LMArena Vision: diagrams	1330	1323	Muse Spark 1.3
LMArena Vision: homework	1296	1336	Qwen3.8 Max (0902)
Humanity's Last Exam (Scale run)	25.4%	Not measured	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 index14

Math benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
OTIS Mock AIME	99.2%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	74.4%	74.7%	Qwen3.8 Max (0902)
FrontierMath, tier 4	46.3%	46.3%	Tie
ProofBench	58.0%	58.0%	Tie
LMArena Text: math	1497	1501	Qwen3.8 Max (0902)
LMArena Text: mathematical work	1491	1491	Muse Spark 1.3
MathArena	43.0%	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 index22

Knowledge benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
MMLU Pro	Not measured	88.6%	Only Qwen3.8 Max (0902) measured
LegalBench (Vals AI)	Not measured	83.6%	Only Qwen3.8 Max (0902) measured
CorpFin (Vals AI)	Not measured	65.8%	Only Qwen3.8 Max (0902) measured
TaxEval (Vals AI)	Not measured	75.5%	Only Qwen3.8 Max (0902) measured
MortgageTax (Vals AI)	Not measured	64.0%	Only Qwen3.8 Max (0902) measured
MedCode (Vals AI)	Not measured	40.7%	Only Qwen3.8 Max (0902) measured
SimpleQA Verified	Not measured	47.3%	Only Qwen3.8 Max (0902) measured
LMArena Text: science	1507	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1493	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1499	1492	Muse Spark 1.3
LMArena Text: business and finance	1490	1480	Muse Spark 1.3
PRBench Finance	59.5%	Not measured	Only Muse Spark 1.3 measured
PRBench Legal	61.6%	Not measured	Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index71

Web design benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1356	1275	Muse Spark 1.3
Design Arena: UI components	1350	1336	Muse Spark 1.3
Design Arena: game dev	1328	1312	Muse Spark 1.3
Design Arena: data viz	1344	1282	Muse Spark 1.3
Design Arena: 3D	1358	1336	Muse Spark 1.3
Design Arena: all code categories	1352	1292	Muse Spark 1.3
Design Arena: SVG	1301	Not measured	Only Muse Spark 1.3 measured
Design Arena: ASCII art	1283	1200	Muse Spark 1.3
LiveBench design	74.8%	78.6%	Qwen3.8 Max (0902)

GeneralLike-for-likePublic boards, shown as published, kept out of the index1413

General benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	Qwen3.8 Max (0902)	Leader
LiveBench data analysis	79.6%	78.4%	Muse Spark 1.3
Public Benefits Bench (Vals AI)	Not measured	67.1%	Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)	Not measured	51.2%	Only Qwen3.8 Max (0902) measured
MedScribe (Vals AI)	Not measured	85.0%	Only Qwen3.8 Max (0902) measured
Vals Multimodal Index	Not measured	65.4%	Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)	83.0%	80.3%	Muse Spark 1.3
DTBench	96.5%	92.0%	Muse Spark 1.3
LMCA	53.9%	46.2%	Muse Spark 1.3
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
LMArena Text	1490	1483	Muse Spark 1.3
LMArena Text: instruction following	1479	1481	Qwen3.8 Max (0902)
LMArena Text: creative writing	1462	1477	Qwen3.8 Max (0902)
LMArena Vision	1308	1313	Qwen3.8 Max (0902)
LMArena Text: English	1495	1491	Muse Spark 1.3
LMArena Text: non-English	1481	1473	Muse Spark 1.3
LMArena Text: Chinese	1532	1539	Qwen3.8 Max (0902)
LMArena Text: German	1513	1478	Muse Spark 1.3
LMArena Text: Japanese	1470	1473	Qwen3.8 Max (0902)
LMArena Text: Korean	1490	1460	Muse Spark 1.3
LMArena Text: French	1511	1498	Muse Spark 1.3
LMArena Text: Spanish	1496	1489	Muse Spark 1.3
LMArena Text: Russian	1491	1482	Muse Spark 1.3
LMArena Text: Polish	1490	1471	Muse Spark 1.3
LMArena Text: multi-turn	1487	1489	Qwen3.8 Max (0902)
LMArena Text: longer queries	1488	1488	Qwen3.8 Max (0902)
LMArena Text: writing and language	1470	1477	Qwen3.8 Max (0902)
LMArena Text: entertainment and media	1457	1464	Qwen3.8 Max (0902)
LMArena Vision: English	1298	1311	Qwen3.8 Max (0902)
LMArena Vision: Chinese	1384	1358	Muse Spark 1.3
LMArena Vision: reading text	1319	1322	Qwen3.8 Max (0902)
LMArena Vision: humor	1293	1304	Qwen3.8 Max (0902)
LMArena Vision: creative writing	1296	1312	Qwen3.8 Max (0902)
Neither model has a result on the other 16 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Muse Spark 1.3 and Qwen3.8 Max (0902)
Benchmark	Muse Spark 1.3	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 1.3$0.0034Fits in one request

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

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request

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

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request

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

Muse Spark 1.3 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 1.3 and Qwen3.8 Max (0902)
Specification	Meta Muse Spark 1.3	Qwen3.8 Max (0902)
Maker	Meta	Qwen
Weights	No public weights listed	No public weights listed
Released	September 2, 2026	September 3, 2026
Context window	1.05M	1M
Input $/Mtok	$1.25	$2.00
Output $/Mtok	$4.25	$6.00
Coding index	57.4	62.4
Independent measurements behind it	4	5
Cost per solved task	Not computable	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Muse Spark 1.3 better than Qwen3.8 Max (0902) for coding?

Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3. Pick Muse Spark 1.3 for output tokens 1.4x cheaper ($4.25 vs $6.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Muse Spark 1.3 or Qwen3.8 Max (0902)?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.

Which has the bigger context window, Muse Spark 1.3 or Qwen3.8 Max (0902)?

Muse Spark 1.3, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.3 vs Qwen3.8 Max (0902) comparison based on?

91 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 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.

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<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-spark-1-3-vs-qwen3-8-max-0902" title="Muse Spark 1.3 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-1-3-vs-qwen3-8-max-0902">LLMBenchmark.ai, Muse Spark 1.3 vs Qwen3.8 Max (0902)</a></p>

Muse Spark 1.3 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