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Claude Haiku 4.5 vs Muse Spark 1.1

Muse Spark 1.1 leads Claude Haiku 4.5 on coding, 70.3 to 35.6 on the Vibe Coding Index, at about the same output price ($4.25 vs $5.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
0
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
71
vs boards won of 72 shared, 1 tied

Claude Haiku 4.5 or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5, though on 3 benchmarks against 4.

Claude Haiku 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
72
Claude Haiku 4.5 only
26
Muse Spark 1.1 only
32
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 Haiku 4.5 35.6 from 4 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Agentic work, 31.8 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Haiku 4.5 11.4% against Muse Spark 1.1 72.2%, 60.8 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Muse Spark 1.1 $4.25 per million output tokens, 1.2x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Muse Spark 1.1 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 Haiku 4.5BarsMuse Spark 1.1Ties
Coding0111 tie
Intelligence02
Agentic work06
Reasoning06
Math02
Knowledge010
Web design08
General026
All shared boards0711 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev13301542Muse Spark 1.1
AA Coding Index43.971.3Muse Spark 1.1
LiveCodeBench (Vals AI)41.2%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)66.6%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)11.4%72.2%Muse Spark 1.1
Code migration (Vals AI)7.5%31.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)43.8%69.3%Muse Spark 1.1
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: coding14541498Muse Spark 1.1
LMArena Text: software and IT14391498Muse Spark 1.1
LMArena WebDev: React13261532Muse Spark 1.1
LMArena WebDev: HTML13181540Muse Spark 1.1
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
SWE Atlas: Codebase QnANot measured42.2%Only Muse Spark 1.1 measured
SWE Atlas: Test WritingNot measured41.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
AA Intelligence Index16.933.7Muse Spark 1.1
Epoch Capabilities Index142.2154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index06
Agentic work benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
AA Agentic Index8.025.8Muse Spark 1.1
Design Arena: agents building web appsNot measured1207Only Muse Spark 1.1 measured
Design Arena: agents building full-stack appsNot measured1199Only Muse Spark 1.1 measured
Design Arena: agents building mobile appsNot measured1175Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1178Only Muse Spark 1.1 measured
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1145Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1134Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1021Only Muse Spark 1.1 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%57.2%Muse Spark 1.1
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)22.7%56.4%Muse Spark 1.1
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459$6,520Muse Spark 1.1
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
MCP Atlas40.2%88.1%Muse Spark 1.1
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
GPQA Diamond72.2%91.2%Muse Spark 1.1
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)Not measured89.8%Only Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured46.2%Only Muse Spark 1.1 measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%34.0%Muse Spark 1.1
LMArena Text: hard prompts14211485Muse Spark 1.1
LMArena Text: expert14431478Muse Spark 1.1
LMArena Text: hard prompts in English14351480Muse Spark 1.1
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%Not measuredOnly Claude Haiku 4.5 measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981482Muse Spark 1.1
LMArena Text: mathematical work14301487Muse Spark 1.1
MathArenaNot measured42.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
MMLU Pro78.7%88.7%Muse Spark 1.1
LegalBench (Vals AI)81.2%85.0%Muse Spark 1.1
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%71.3%Muse Spark 1.1
TaxEval (Vals AI)67.5%79.7%Muse Spark 1.1
MortgageTax (Vals AI)62.2%66.1%Muse Spark 1.1
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%57.8%Muse Spark 1.1
LMArena Text: science14061484Muse Spark 1.1
LMArena Text: medicine and healthcare13941479Muse Spark 1.1
LMArena Text: legal and government14001481Muse Spark 1.1
LMArena Text: business and finance14001470Muse Spark 1.1
PRBench FinanceNot measured55.0%Only Muse Spark 1.1 measured
PRBench LegalNot measured57.0%Only Muse Spark 1.1 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
Design Arena: websites11221270Muse Spark 1.1
Design Arena: UI components10971287Muse Spark 1.1
Design Arena: game dev10961269Muse Spark 1.1
Design Arena: data viz11241267Muse Spark 1.1
Design Arena: 3D10711259Muse Spark 1.1
Design Arena: all code categories11141276Muse Spark 1.1
Design Arena: SVG10251234Muse Spark 1.1
Design Arena: ASCII art11401269Muse Spark 1.1
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%61.3%Muse Spark 1.1
SAGE (Vals AI)31.8%45.6%Muse Spark 1.1
MedScribe (Vals AI)85.2%88.9%Muse Spark 1.1
Vals Multimodal Index42.9%66.7%Muse Spark 1.1
Long context reasoning (AA-LCR)Not measured77.7%Only Muse Spark 1.1 measured
DTBench73.6%94.4%Muse Spark 1.1
LMCA30.9%49.9%Muse Spark 1.1
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971478Muse Spark 1.1
LMArena Text: instruction following14141457Muse Spark 1.1
LMArena Text: creative writing13711435Muse Spark 1.1
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: English14141478Muse Spark 1.1
LMArena Text: non-English13771471Muse Spark 1.1
LMArena Text: Chinese14181515Muse Spark 1.1
LMArena Text: German13741469Muse Spark 1.1
LMArena Text: Japanese13381450Muse Spark 1.1
LMArena Text: Korean13461459Muse Spark 1.1
LMArena Text: French14111492Muse Spark 1.1
LMArena Text: Spanish14211464Muse Spark 1.1
LMArena Text: Russian13811482Muse Spark 1.1
LMArena Text: Polish13431499Muse Spark 1.1
LMArena Text: multi-turn14091484Muse Spark 1.1
LMArena Text: longer queries14271462Muse Spark 1.1
LMArena Text: writing and language13861448Muse Spark 1.1
LMArena Text: entertainment and media13691438Muse Spark 1.1
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena Document14201465Muse Spark 1.1
MultiChallenge50.5%75.3%Muse Spark 1.1
EQ-Bench 410641260Muse Spark 1.1
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 Claude Haiku 4.5 and Muse Spark 1.1
BenchmarkClaude Haiku 4.5Muse Spark 1.1Leader
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 Haiku 4.5$0.0035Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Muse Spark 1.1$0.075Fits in one request

Claude Haiku 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Muse Spark 1.1$0.292Fits in one request

Claude Haiku 4.5 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 Haiku 4.5 and Muse Spark 1.1
SpecificationAnthropic Claude Haiku 4.5Meta Muse Spark 1.1
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025July 16, 2026
Context window200K1.05M
Input $/Mtok$1.00$1.25
Output $/Mtok$5.00$4.25
Coding index35.670.3
Independent measurements behind it43
Cost per solved task$0.56$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5, though on 3 benchmarks against 4. Claude Haiku 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Claude Haiku 4.5 or Muse Spark 1.1?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Claude Haiku 4.5 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Muse Spark 1.1 comparison based on?

72 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Muse Spark 1.1's on 3. 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-haiku-4-5-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Claude Haiku 4.5 vs Muse Spark 1.1</a></p>