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Claude Opus 4.8 vs Muse Spark 1.3

Claude Opus 4.8 leads Muse Spark 1.3 on coding, 65.0 to 57.4 on the Vibe Coding Index, and Muse Spark 1.3 costs 5.9x less per output token ($4.25 vs $25.00 per million). Updated October 22, 2026; 87 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace Muse Spark 1.3
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
21
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
64
vs boards won of 87 shared, 2 tied

Claude Opus 4.8 or Muse Spark 1.3: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 57.4 for Muse Spark 1.3.

Pick Muse Spark 1.3 for output tokens 5.9x cheaper ($4.25 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
87
Claude Opus 4.8 only
43
Muse Spark 1.3 only
5
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
Claude Opus 4.8 65.0 from 6 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Web design, 10.2 points apart on average over 9 shared benchmarks.
Widest single gap
Design Arena: spreadsheets: Claude Opus 4.8 1303 against Muse Spark 1.3 1062, 30.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Muse Spark 1.3 $4.25 per million output tokens, 5.9x apart.
Context window
Claude Opus 4.8 takes 1M 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
CategoryClaude Opus 4.8BarsMuse Spark 1.3Ties
Coding310
Intelligence11
Agentic work781 tie
Reasoning361 tie
Math42
Knowledge04
Web design18
General225
All shared boards21642 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index310
Coding benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
LiveBench coding77.3%90.2%Muse Spark 1.3
LMArena WebDev15561659Muse Spark 1.3
AA Coding Index74.375.8Muse Spark 1.3
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%10.6%Claude Opus 4.8
Vibe Code Bench (Vals AI)82.7%82.9%Muse Spark 1.3
Code migration (Vals AI)47.3%27.6%Claude Opus 4.8
ProgramBench (Vals AI)1.0%0.5%Claude Opus 4.8
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)71.9%72.3%Muse Spark 1.3
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCode54.4%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)58.3%Not measuredOnly Claude Opus 4.8 measured
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%Not measuredOnly Claude Opus 4.8 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14901510Muse Spark 1.3
LMArena Text: software and IT14881511Muse Spark 1.3
LMArena WebDev: React15571672Muse Spark 1.3
LMArena WebDev: HTML15431653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
AA Intelligence Index41.848.1Muse Spark 1.3
Epoch Capabilities Index159.0157.2Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index78
Agentic work benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
AA Agentic Index41.955.5Muse Spark 1.3
Design Arena: agents building web apps12331297Muse Spark 1.3
Design Arena: agents building full-stack apps12491295Muse Spark 1.3
Design Arena: agents building mobile apps12221218Claude Opus 4.8
Design Arena: agents building Android apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games12311241Muse Spark 1.3
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides12021219Muse Spark 1.3
Design Arena: spreadsheets13031062Claude Opus 4.8
LiveBench research81.8%68.6%Claude Opus 4.8
LiveBench browser96.0%80.0%Claude Opus 4.8
LiveBench long agentic48.3%40.4%Claude Opus 4.8
Finance Agent (Vals AI)53.9%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)30.0%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)43.8%40.9%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%62.7%Claude Opus 4.8
Terminal-Bench-Science (Vals AI)4.3%4.3%Tie
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%Not measuredOnly Claude Opus 4.8 measured
APEX-Agents48.9%58.6%Muse Spark 1.3
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%89.7%Muse Spark 1.3
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%48.7%Tie
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%37.0%Claude Opus 4.8
Mystery game puzzles36.0%25.0%Claude Opus 4.8
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821503Muse Spark 1.3
LMArena Text: expert15031519Muse Spark 1.3
LMArena Text: hard prompts in English14871500Muse Spark 1.3
LMArena Vision: diagrams13151330Muse Spark 1.3
LMArena Vision: homework13371296Claude Opus 4.8
Kagi LLM Benchmark88.8%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
OTIS Mock AIME98.3%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 380.0%74.4%Claude Opus 4.8
FrontierMath, tier 456.1%46.3%Claude Opus 4.8
ProofBench69.0%58.0%Claude Opus 4.8
LMArena Text: math14861497Muse Spark 1.3
LMArena Text: mathematical work14971491Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
MMLU Pro89.6%Not measuredOnly Claude Opus 4.8 measured
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CorpFin (Vals AI)66.7%Not measuredOnly Claude Opus 4.8 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Opus 4.8 measured
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%Not measuredOnly Claude Opus 4.8 measured
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771507Muse Spark 1.3
LMArena Text: medicine and healthcare14641493Muse Spark 1.3
LMArena Text: legal and government14771499Muse Spark 1.3
LMArena Text: business and finance14581490Muse Spark 1.3
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index18
Web design benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
Design Arena: websites12581356Muse Spark 1.3
Design Arena: UI components12551349Muse Spark 1.3
Design Arena: game dev12641328Muse Spark 1.3
Design Arena: data viz12401343Muse Spark 1.3
Design Arena: 3D12221358Muse Spark 1.3
Design Arena: all code categories12551352Muse Spark 1.3
Design Arena: SVG11951301Muse Spark 1.3
Design Arena: ASCII art12771278Muse Spark 1.3
LiveBench design78.8%74.8%Claude Opus 4.8
GeneralLike-for-likePublic boards, shown as published, kept out of the index225
General benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse Spark 1.3Leader
LiveBench data analysis66.0%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%Not measuredOnly Claude Opus 4.8 measured
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%Not measuredOnly Claude Opus 4.8 measured
Long context reasoning (AA-LCR)77.7%83.0%Muse Spark 1.3
DTBench94.9%96.5%Muse Spark 1.3
LMCA57.5%53.9%Claude Opus 4.8
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611490Muse Spark 1.3
LMArena Text: instruction following14761479Muse Spark 1.3
LMArena Text: creative writing14541462Muse Spark 1.3
LMArena Vision12941308Muse Spark 1.3
LMArena Text: English14681495Muse Spark 1.3
LMArena Text: non-English14501481Muse Spark 1.3
LMArena Text: Chinese15061532Muse Spark 1.3
LMArena Text: German14721513Muse Spark 1.3
LMArena Text: Japanese14421470Muse Spark 1.3
LMArena Text: Korean14311490Muse Spark 1.3
LMArena Text: French14811511Muse Spark 1.3
LMArena Text: Spanish14651496Muse Spark 1.3
LMArena Text: Russian14741491Muse Spark 1.3
LMArena Text: Polish14591490Muse Spark 1.3
LMArena Text: multi-turn14761487Muse Spark 1.3
LMArena Text: longer queries14831488Muse Spark 1.3
LMArena Text: writing and language14611470Muse Spark 1.3
LMArena Text: entertainment and media14401457Muse Spark 1.3
LMArena Vision: English12931298Muse Spark 1.3
LMArena Vision: Chinese13461384Muse Spark 1.3
LMArena Vision: reading text13031319Muse Spark 1.3
LMArena Vision: humor12821293Muse Spark 1.3
LMArena Vision: creative writing13011296Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and Muse Spark 1.3
BenchmarkClaude Opus 4.8Muse 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

Claude Opus 4.8$0.018Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
Muse Spark 1.3$0.075Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
Muse Spark 1.3$0.292Fits 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 Claude Opus 4.8 and Muse Spark 1.3
SpecificationAnthropic Claude Opus 4.8Meta Muse Spark 1.3
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026September 2, 2026
Context window1M1.05M
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$4.25
Coding index65.057.4
Independent measurements behind it64
Cost per solved task$2.17Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Muse Spark 1.3 for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 57.4 for Muse Spark 1.3. Pick Muse Spark 1.3 for output tokens 5.9x cheaper ($4.25 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Opus 4.8 or Muse Spark 1.3?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Claude Opus 4.8 only.

Which has the bigger context window, Claude Opus 4.8 or Muse Spark 1.3?

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

How many benchmarks is the Claude Opus 4.8 vs Muse Spark 1.3 comparison based on?

87 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-8-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Claude Opus 4.8 vs Muse Spark 1.3</a></p>