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Claude Opus 4.7 vs Muse Spark 1.2

Claude Opus 4.7 leads Muse Spark 1.2 on coding, 67.5 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; 66 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
45
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
21
vs boards won of 66 shared

Claude Opus 4.7 or Muse Spark 1.2: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 55.7 for Muse Spark 1.2, though on 4 benchmarks against 5.

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 $2.95).

Shared results
66
Claude Opus 4.7 only
37
Muse Spark 1.2 only
31
Like-for-like categories
7 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 4.7 67.5 from 4 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 6.4 points apart on average over 6 shared benchmarks.
Widest single gap
WeirdML: Claude Opus 4.7 76.4% against Muse Spark 1.2 60.3%, 16.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Muse Spark 1.2 $4.25 per million output tokens, 5.9x apart.
Context window
Claude Opus 4.7 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 4.7BarsMuse Spark 1.2Ties
Coding84
Intelligence20
Agentic work24
Reasoning63
Math30
Knowledge56
General194
All shared boards4521
CodingLike-for-likeSix of these boards feed the Vibe Coding Index84
Coding benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev15581534Claude Opus 4.7
AA Coding Index73.672.2Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)71.0%79.1%Muse Spark 1.2
Code migration (Vals AI)43.9%29.9%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.2
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)68.5%69.7%Muse Spark 1.2
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCodeNot measured57.4%Only Muse Spark 1.2 measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%60.3%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding15191505Claude Opus 4.7
LMArena Text: software and IT15161505Claude Opus 4.7
LMArena WebDev: React15601526Claude Opus 4.7
LMArena WebDev: HTML15541543Claude Opus 4.7
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
AA Intelligence Index40.739.6Claude Opus 4.7
Epoch Capabilities Index156.8155.1Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index24
Agentic work benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
AA Agentic Index38.643.2Muse Spark 1.2
Design Arena: agents building web appsNot measured1221Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1181Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1172Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)51.5%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)23.7%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)38.5%43.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)63.7%57.0%Claude Opus 4.7
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%45.4%Claude Opus 4.7
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)85.5%86.1%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)91.4%90.4%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%74.5%Muse Spark 1.2
Chess puzzles41.0%27.0%Claude Opus 4.7
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061489Claude Opus 4.7
LMArena Text: expert15211475Claude Opus 4.7
LMArena Text: hard prompts in English15081487Claude Opus 4.7
LMArena Vision: diagrams13361317Claude Opus 4.7
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 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 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%43.0%Claude Opus 4.7
LMArena Text: math14981484Claude Opus 4.7
LMArena Text: mathematical work15091480Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index56
Knowledge benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
MMLU Pro89.9%88.3%Claude Opus 4.7
LegalBench (Vals AI)85.3%85.3%Muse Spark 1.2
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%70.9%Muse Spark 1.2
TaxEval (Vals AI)75.3%80.4%Muse Spark 1.2
MortgageTax (Vals AI)70.3%65.4%Claude Opus 4.7
MedCode (Vals AI)54.9%49.4%Claude Opus 4.7
SimpleQA Verified51.7%60.3%Muse Spark 1.2
LMArena Text: science15081500Claude Opus 4.7
LMArena Text: medicine and healthcare14951496Muse Spark 1.2
LMArena Text: legal and government15041517Muse Spark 1.2
LMArena Text: business and finance14901484Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
Design Arena: websitesNot measured1312Only Muse Spark 1.2 measured
Design Arena: UI componentsNot measured1298Only Muse Spark 1.2 measured
Design Arena: game devNot measured1301Only Muse Spark 1.2 measured
Design Arena: data vizNot measured1334Only Muse Spark 1.2 measured
Design Arena: 3DNot measured1301Only Muse Spark 1.2 measured
Design Arena: all code categoriesNot measured1312Only Muse Spark 1.2 measured
Design Arena: SVGNot measured1284Only Muse Spark 1.2 measured
Design Arena: ASCII artNot measured1284Only Muse Spark 1.2 measured
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index194
General benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)56.1%47.7%Claude Opus 4.7
MedScribe (Vals AI)83.0%90.1%Muse Spark 1.2
Vals Multimodal Index67.4%69.8%Muse Spark 1.2
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%79.0%Muse Spark 1.2
DTBench94.7%94.7%Muse Spark 1.2
LMCA52.2%48.4%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901482Claude Opus 4.7
LMArena Text: instruction following14981462Claude Opus 4.7
LMArena Text: creative writing14861436Claude Opus 4.7
LMArena Vision13171304Claude Opus 4.7
LMArena Text: English14961483Claude Opus 4.7
LMArena Text: non-English14801476Claude Opus 4.7
LMArena Text: Chinese15311509Claude Opus 4.7
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean14641462Claude Opus 4.7
LMArena Text: French15031495Claude Opus 4.7
LMArena Text: Spanish14941484Claude Opus 4.7
LMArena Text: Russian14941483Claude Opus 4.7
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn15051502Claude Opus 4.7
LMArena Text: longer queries15051473Claude Opus 4.7
LMArena Text: writing and language14921453Claude Opus 4.7
LMArena Text: entertainment and media14741443Claude Opus 4.7
LMArena Vision: English13221291Claude Opus 4.7
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text13271313Claude Opus 4.7
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Muse Spark 1.2
BenchmarkClaude Opus 4.7Muse 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 4.7$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 4.7$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 4.7$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 4.7 and Muse Spark 1.2
SpecificationAnthropic Claude Opus 4.7Meta Muse Spark 1.2
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026August 5, 2026
Context window1M1.05M
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$4.25
Coding index67.555.7
Independent measurements behind it45
Cost per solved task$2.95$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Muse Spark 1.2 for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 55.7 for Muse Spark 1.2, though on 4 benchmarks against 5. 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 $2.95).

Which is cheaper, Claude Opus 4.7 or Muse Spark 1.2?

Claude Opus 4.7 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 4.7 costs $2.95 and Muse Spark 1.2 $0.64.

Which has the bigger context window, Claude Opus 4.7 or Muse Spark 1.2?

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

How many benchmarks is the Claude Opus 4.7 vs Muse Spark 1.2 comparison based on?

66 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 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-4-7-vs-meta-muse-spark-1-2">LLMBenchmark.ai, Claude Opus 4.7 vs Muse Spark 1.2</a></p>