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Claude Haiku 4.5 vs Muse Spark 1.3

Muse Spark 1.3 leads Claude Haiku 4.5 on coding, 57.4 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; 62 benchmarks have a result for both.

Replace Claude Haiku 4.5 Replace Muse Spark 1.3
Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
62
vs boards won of 62 shared

Claude Haiku 4.5 or Muse Spark 1.3: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5.

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

Model AClaude Haiku 4.5Anthropic35.6/1004 independent benchmarks$0.56 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
62
Claude Haiku 4.5 only
36
Muse Spark 1.3 only
34
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 1.3 57.4 from 4 benchmarks.
Widest category
Agentic work, 33.9 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Haiku 4.5 11.4% against Muse Spark 1.3 82.9%, 71.5 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Muse Spark 1.3 $4.25 per million output tokens, 1.2x apart.
Context window
Claude Haiku 4.5 takes 200K 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 Haiku 4.5BarsMuse Spark 1.3Ties
Coding011
Intelligence02
Agentic work08
Reasoning05
Math03
Knowledge04
Web design09
General020
All shared boards062
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
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%90.2%Muse Spark 1.3
LMArena WebDev13301659Muse Spark 1.3
AA Coding Index43.975.8Muse Spark 1.3
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)11.4%82.9%Muse Spark 1.3
Code migration (Vals AI)7.5%27.6%Muse Spark 1.3
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.3
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)43.8%72.3%Muse Spark 1.3
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14541510Muse Spark 1.3
LMArena Text: software and IT14391511Muse Spark 1.3
LMArena WebDev: React13261672Muse Spark 1.3
LMArena WebDev: HTML13181653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
AA Intelligence Index16.948.1Muse Spark 1.3
Epoch Capabilities Index142.2157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index08
Agentic work benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
AA Agentic Index8.055.5Muse Spark 1.3
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1075Only Muse Spark 1.3 measured
LiveBench research42.2%68.6%Muse Spark 1.3
LiveBench browser40.0%80.0%Muse Spark 1.3
LiveBench long agentic11.1%40.4%Muse Spark 1.3
Finance Agent (Vals AI)31.0%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)5.9%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)10.6%40.9%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)22.7%62.7%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
MCP Atlas40.2%Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
GPQA Diamond72.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench reasoning61.7%89.7%Muse Spark 1.3
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured48.7%Only Muse Spark 1.3 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%37.0%Muse Spark 1.3
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts14211503Muse Spark 1.3
LMArena Text: expert14431519Muse Spark 1.3
LMArena Text: hard prompts in English14351500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
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%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981497Muse Spark 1.3
LMArena Text: mathematical work14301491Muse Spark 1.3
MathArenaNot measured43.0%Only Muse Spark 1.3 measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
MMLU Pro78.7%Not measuredOnly Claude Haiku 4.5 measured
LegalBench (Vals AI)81.2%Not measuredOnly Claude Haiku 4.5 measured
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%Not measuredOnly Claude Haiku 4.5 measured
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
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%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science14061507Muse Spark 1.3
LMArena Text: medicine and healthcare13941493Muse Spark 1.3
LMArena Text: legal and government14001499Muse Spark 1.3
LMArena Text: business and finance14001490Muse Spark 1.3
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench LegalNot measured61.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
Design Arena: websites11221356Muse Spark 1.3
Design Arena: UI components10971350Muse Spark 1.3
Design Arena: game dev10961328Muse Spark 1.3
Design Arena: data viz11241344Muse Spark 1.3
Design Arena: 3D10711358Muse Spark 1.3
Design Arena: all code categories11141352Muse Spark 1.3
Design Arena: SVG10251301Muse Spark 1.3
Design Arena: ASCII art11401283Muse Spark 1.3
LiveBench design59.9%74.8%Muse Spark 1.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Claude Haiku 4.5 and Muse Spark 1.3
BenchmarkClaude Haiku 4.5Muse Spark 1.3Leader
LiveBench data analysis59.3%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
Long context reasoning (AA-LCR)Not measured83.0%Only Muse Spark 1.3 measured
DTBench73.6%96.5%Muse Spark 1.3
LMCA30.9%53.9%Muse Spark 1.3
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971490Muse Spark 1.3
LMArena Text: instruction following14141479Muse Spark 1.3
LMArena Text: creative writing13711462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English14141495Muse Spark 1.3
LMArena Text: non-English13771481Muse Spark 1.3
LMArena Text: Chinese14181532Muse Spark 1.3
LMArena Text: German13741513Muse Spark 1.3
LMArena Text: Japanese13381470Muse Spark 1.3
LMArena Text: Korean13461490Muse Spark 1.3
LMArena Text: French14111511Muse Spark 1.3
LMArena Text: Spanish14211496Muse Spark 1.3
LMArena Text: Russian13811491Muse Spark 1.3
LMArena Text: Polish13431490Muse Spark 1.3
LMArena Text: multi-turn14091487Muse Spark 1.3
LMArena Text: longer queries14271488Muse Spark 1.3
LMArena Text: writing and language13861470Muse Spark 1.3
LMArena Text: entertainment and media13691457Muse Spark 1.3
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
MultiChallenge50.5%Not measuredOnly Claude Haiku 4.5 measured
EQ-Bench 41064Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 13 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 1.3
BenchmarkClaude Haiku 4.5Muse 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 Haiku 4.5$0.0035Fits 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 Haiku 4.5$0.065Fits in one request
Muse Spark 1.3$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 1.3$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 1.3
SpecificationAnthropic Claude Haiku 4.5Meta Muse Spark 1.3
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025September 2, 2026
Context window200K1.05M
Input $/Mtok$1.00$1.25
Output $/Mtok$5.00$4.25
Coding index35.657.4
Independent measurements behind it44
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5. 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 1.3?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Muse Spark 1.3 comparison based on?

62 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 1.3'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-haiku-4-5-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Claude Haiku 4.5 vs Muse Spark 1.3</a></p>