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Claude Opus 4.8 vs Muse Spark 1.2

Claude Opus 4.8 leads Muse Spark 1.2 on coding, 65.0 to 55.7 on the Vibe Coding Index, and Muse Spark 1.2 costs 5.9x less per output token ($4.25 vs $25.00 per million). Updated October 22, 2026; 92 benchmarks have a result for both.

Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
46
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
45
vs boards won of 92 shared, 1 tied

Claude Opus 4.8 or Muse Spark 1.2: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 55.7 for Muse Spark 1.2.

Pick Muse Spark 1.2 for output tokens 5.9x cheaper ($4.25 vs $25.00 per million) and a lower cost per solved task ($0.64 against $2.17).

Shared results
92
Claude Opus 4.8 only
38
Muse Spark 1.2 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 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 10.2 points apart on average over 16 shared benchmarks.
Widest single gap
LiveBench browser: Claude Opus 4.8 96.0% against Muse Spark 1.2 36.0%, 60.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Muse Spark 1.2 $4.25 per million output tokens, 5.9x apart.
Context window
Claude Opus 4.8 takes 1M tokens, Muse Spark 1.2 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 1.2Ties
Coding115
Intelligence20
Agentic work1231 tie
Reasoning55
Math30
Knowledge38
Web design18
General916
All shared boards46451 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index115
Coding benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
LiveBench coding77.3%78.2%Muse Spark 1.2
LMArena WebDev15561534Claude Opus 4.8
AA Coding Index74.372.2Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%86.6%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%6.1%Claude Opus 4.8
Vibe Code Bench (Vals AI)82.7%79.1%Claude Opus 4.8
Code migration (Vals AI)47.3%29.9%Claude Opus 4.8
ProgramBench (Vals AI)1.0%0.5%Claude Opus 4.8
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)71.9%69.7%Claude Opus 4.8
SkillsBench (Vals AI)59.2%53.0%Claude Opus 4.8
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCode54.4%57.4%Muse Spark 1.2
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 measured12.0%Only Muse Spark 1.2 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%60.3%Claude Opus 4.8
LMArena Text: coding14901505Muse Spark 1.2
LMArena Text: software and IT14881505Muse Spark 1.2
LMArena WebDev: React15571526Claude Opus 4.8
LMArena WebDev: HTML15431543Muse Spark 1.2
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
AA Intelligence Index41.839.6Claude Opus 4.8
Epoch Capabilities Index159.0155.1Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index123
Agentic work benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
AA Agentic Index41.943.2Muse Spark 1.2
Design Arena: agents building web apps12331221Claude Opus 4.8
Design Arena: agents building full-stack apps12491210Claude Opus 4.8
Design Arena: agents building mobile apps12221181Claude Opus 4.8
Design Arena: agents building Android apps12331222Claude Opus 4.8
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games12391179Claude Opus 4.8
Design Arena: HTML slides11711085Claude Opus 4.8
Design Arena: PowerPoint slides12021172Claude Opus 4.8
Design Arena: spreadsheets1303Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%67.7%Claude Opus 4.8
LiveBench browser96.0%36.0%Claude Opus 4.8
LiveBench long agentic48.3%21.3%Claude Opus 4.8
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)53.9%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)30.0%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)43.8%43.8%Tie
Excel Modeling Benchmark (Vals AI)69.4%57.0%Claude Opus 4.8
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
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%45.4%Claude Opus 4.8
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 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index55
Reasoning benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%90.0%Muse Spark 1.2
MMMU Pro (Vals AI)86.6%86.1%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)92.0%90.4%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%45.5%Claude Opus 4.8
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%74.5%Muse Spark 1.2
Chess puzzles52.0%27.0%Claude Opus 4.8
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821489Muse Spark 1.2
LMArena Text: expert15031475Claude Opus 4.8
LMArena Text: hard prompts in English14871487Muse Spark 1.2
LMArena Vision: diagrams13151317Muse Spark 1.2
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
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 index30
Math benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
OTIS Mock AIME98.3%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%43.0%Claude Opus 4.8
LMArena Text: math14861484Claude Opus 4.8
LMArena Text: mathematical work14971480Claude 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 index38
Knowledge benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
MMLU Pro89.6%88.3%Claude Opus 4.8
LegalBench (Vals AI)83.6%85.3%Muse Spark 1.2
CorpFin (Vals AI)66.7%70.9%Muse Spark 1.2
TaxEval (Vals AI)75.6%80.4%Muse Spark 1.2
MortgageTax (Vals AI)69.9%65.4%Claude Opus 4.8
MedCode (Vals AI)53.2%49.4%Claude Opus 4.8
SimpleQA Verified53.0%60.3%Muse Spark 1.2
LMArena Text: science14771500Muse Spark 1.2
LMArena Text: medicine and healthcare14641496Muse Spark 1.2
LMArena Text: legal and government14771517Muse Spark 1.2
LMArena Text: business and finance14581484Muse Spark 1.2
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 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
Design Arena: websites12581312Muse Spark 1.2
Design Arena: UI components12551298Muse Spark 1.2
Design Arena: game dev12641301Muse Spark 1.2
Design Arena: data viz12401334Muse Spark 1.2
Design Arena: 3D12221301Muse Spark 1.2
Design Arena: all code categories12551312Muse Spark 1.2
Design Arena: SVG11951284Muse Spark 1.2
Design Arena: ASCII art12771284Muse Spark 1.2
LiveBench design78.8%67.1%Claude Opus 4.8
GeneralLike-for-likePublic boards, shown as published, kept out of the index916
General benchmarks for Claude Opus 4.8 and Muse Spark 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
LiveBench data analysis66.0%76.5%Muse Spark 1.2
Public Benefits Bench (Vals AI)68.1%68.5%Muse Spark 1.2
SAGE (Vals AI)54.8%47.7%Claude Opus 4.8
MedScribe (Vals AI)85.8%90.1%Muse Spark 1.2
Vals Multimodal Index70.9%69.8%Claude Opus 4.8
IFBench62.2%Not measuredOnly Claude Opus 4.8 measured
Long context reasoning (AA-LCR)77.7%79.0%Muse Spark 1.2
DTBench94.9%94.7%Claude Opus 4.8
LMCA57.5%48.4%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 Text14611482Muse Spark 1.2
LMArena Text: instruction following14761462Claude Opus 4.8
LMArena Text: creative writing14541436Claude Opus 4.8
LMArena Vision12941304Muse Spark 1.2
LMArena Text: English14681483Muse Spark 1.2
LMArena Text: non-English14501476Muse Spark 1.2
LMArena Text: Chinese15061509Muse Spark 1.2
LMArena Text: German1472Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Japanese1442Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Korean14311462Muse Spark 1.2
LMArena Text: French14811495Muse Spark 1.2
LMArena Text: Spanish14651484Muse Spark 1.2
LMArena Text: Russian14741483Muse Spark 1.2
LMArena Text: Polish1459Not measuredOnly Claude Opus 4.8 measured
LMArena Text: multi-turn14761502Muse Spark 1.2
LMArena Text: longer queries14831473Claude Opus 4.8
LMArena Text: writing and language14611453Claude Opus 4.8
LMArena Text: entertainment and media14401443Muse Spark 1.2
LMArena Vision: English12931291Claude Opus 4.8
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text13031313Muse Spark 1.2
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
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 1.2
BenchmarkClaude Opus 4.8Muse Spark 1.2Leader
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 1.2$0.0034Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
Muse Spark 1.2$0.075Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
Muse Spark 1.2$0.292Fits in one request

Muse Spark 1.2 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 1.2
SpecificationAnthropic Claude Opus 4.8Meta Muse Spark 1.2
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026August 5, 2026
Context window1M1.05M
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$4.25
Coding index65.055.7
Independent measurements behind it65
Cost per solved task$2.17$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Muse Spark 1.2 for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 55.7 for Muse Spark 1.2. Pick Muse Spark 1.2 for output tokens 5.9x cheaper ($4.25 vs $25.00 per million) and a lower cost per solved task ($0.64 against $2.17).

Which is cheaper, Claude Opus 4.8 or Muse Spark 1.2?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and Muse Spark 1.2 $0.64.

Which has the bigger context window, Claude Opus 4.8 or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.8 vs Muse Spark 1.2 comparison based on?

92 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 1.2's on 5. 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-1-2">LLMBenchmark.ai, Claude Opus 4.8 vs Muse Spark 1.2</a></p>