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Mercury 2 vs Muse Spark 1.1

Updated October 21, 2026. 37 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Mercury 2Inception
Coding
0.0
Overall
10.8
Output $/M
$0.75
0
Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
37
vs boards won of 37 shared

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 0.0 for Mercury 2.

Pick Mercury 2 when output tokens cost 5.7x less.

Shared results
37
Mercury 2 only
5
Muse Spark 1.1 only
59
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Mercury 2 0.0 from 1 benchmark, Muse Spark 1.1 48.9 from 1 benchmark.
Widest category
Coding, 38.0 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: React: Mercury 2 1160 against Muse Spark 1.1 1532, 62.1 points apart on a 0 to 100 scale.
Output price
Mercury 2 $0.75 against Muse Spark 1.1 $4.25 per million output tokens, 5.7x apart.
Context window
Mercury 2 takes 128K 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
CategoryMercury 2BarsMuse Spark 1.1Ties
Coding07
Intelligence01
Agentic work01
Reasoning05
Knowledge03
Web design08
General012
All shared boards037
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
LMArena WebDev11711542Muse Spark 1.1
AA Coding Index31.171.3Muse Spark 1.1
LiveCodeBench (Vals AI)Not measured85.9%Only Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)Not measured82.0%Only Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)Not measured72.2%Only Muse Spark 1.1 measured
Code migration (Vals AI)Not measured31.1%Only Muse Spark 1.1 measured
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.3%Only Muse Spark 1.1 measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCode37.7%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Mercury 2 measured
WeirdML43.2%Not measuredOnly Mercury 2 measured
ALE-Bench785.6Not measuredOnly Mercury 2 measured
LMArena Text: coding13901498Muse Spark 1.1
LMArena Text: software and IT13851498Muse Spark 1.1
LMArena WebDev: React11601532Muse Spark 1.1
LMArena WebDev: HTML11991540Muse Spark 1.1
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
AA Intelligence Index10.833.7Muse Spark 1.1
Epoch Capabilities IndexNot measured154.1Only Muse Spark 1.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
AA Agentic Index1.625.8Muse 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 measured1177Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1184Only 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 measured1194Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1156Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured974Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom70.8%Not measuredOnly Mercury 2 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
GPQA DiamondNot measured91.2%Only Muse Spark 1.1 measured
MMMU Pro (Vals AI)Not measured86.6%Only Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)77.0%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)17.1%46.2%Muse Spark 1.1
Chess puzzlesNot measured34.0%Only Muse Spark 1.1 measured
LMArena Text: hard prompts13621485Muse Spark 1.1
LMArena Text: expert13581478Muse Spark 1.1
LMArena Text: hard prompts in English13741480Muse 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 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: mathNot measured1482Only Muse Spark 1.1 measured
LMArena Text: mathematical workNot measured1487Only Muse Spark 1.1 measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index03
Knowledge benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
MMLU ProNot measured88.7%Only Muse Spark 1.1 measured
LegalBench (Vals AI)Not measured85.0%Only Muse Spark 1.1 measured
CorpFin (Vals AI)Not measured71.3%Only Muse Spark 1.1 measured
TaxEval (Vals AI)Not measured79.7%Only Muse Spark 1.1 measured
MortgageTax (Vals AI)Not measured66.1%Only Muse Spark 1.1 measured
SimpleQA VerifiedNot measured57.8%Only Muse Spark 1.1 measured
LMArena Text: science13431484Muse Spark 1.1
LMArena Text: medicine and healthcare13631479Muse Spark 1.1
LMArena Text: legal and governmentNot measured1481Only Muse Spark 1.1 measured
LMArena Text: business and finance13491470Muse Spark 1.1
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
Design Arena: websites10361270Muse Spark 1.1
Design Arena: UI components9981290Muse Spark 1.1
Design Arena: game dev9851269Muse Spark 1.1
Design Arena: data viz10091268Muse Spark 1.1
Design Arena: 3D9821260Muse Spark 1.1
Design Arena: all code categories10221276Muse Spark 1.1
Design Arena: SVG9981234Muse Spark 1.1
Design Arena: ASCII art9901270Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)Not measured45.6%Only Muse Spark 1.1 measured
MedScribe (Vals AI)Not measured88.9%Only Muse Spark 1.1 measured
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench69.8%Not measuredOnly Mercury 2 measured
Long context reasoning (AA-LCR)43.7%77.7%Muse Spark 1.1
DTBenchNot measured94.4%Only Muse Spark 1.1 measured
LMCANot measured49.9%Only Muse Spark 1.1 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text13541478Muse Spark 1.1
LMArena Text: instruction following13281457Muse Spark 1.1
LMArena Text: creative writing12861435Muse Spark 1.1
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: English13781478Muse Spark 1.1
LMArena Text: non-English13301471Muse Spark 1.1
LMArena Text: Chinese14141515Muse Spark 1.1
LMArena Text: GermanNot measured1469Only Muse Spark 1.1 measured
LMArena Text: JapaneseNot measured1450Only Muse Spark 1.1 measured
LMArena Text: KoreanNot measured1459Only Muse Spark 1.1 measured
LMArena Text: FrenchNot measured1492Only Muse Spark 1.1 measured
LMArena Text: SpanishNot measured1464Only Muse Spark 1.1 measured
LMArena Text: Russian13041482Muse Spark 1.1
LMArena Text: PolishNot measured1499Only Muse Spark 1.1 measured
LMArena Text: multi-turn13571484Muse Spark 1.1
LMArena Text: longer queries13291462Muse Spark 1.1
LMArena Text: writing and language13001448Muse Spark 1.1
LMArena Text: entertainment and media13141438Muse 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 DocumentNot measured1465Only Muse Spark 1.1 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 Mercury 2 and Muse Spark 1.1
BenchmarkMercury 2Muse 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

Mercury 2$0.0006Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Mercury 2 costs less

Repository review

50K input + 3K output tokens

Mercury 2$0.015Fits in one request
Muse Spark 1.1$0.075Fits in one request

Mercury 2 costs less

Agent loop

200K input + 10K output tokens

Mercury 2$0.058Exceeds the context window
Muse Spark 1.1$0.292Fits in one request

Mercury 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 Mercury 2 and Muse Spark 1.1
SpecificationInception Mercury 2Meta Muse Spark 1.1
MakerInceptionMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 4, 2026July 16, 2026
Context window128K1.05M
Input $/Mtok$0.25$1.25
Output $/Mtok$0.75$4.25
Coding index0.048.9
Independent measurements behind it11
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 0.0 for Mercury 2. Pick Mercury 2 when output tokens cost 5.7x less.

Which is cheaper, Mercury 2 or Muse Spark 1.1?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Mercury 2 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 128K.

How many benchmarks is the Mercury 2 vs Muse Spark 1.1 comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Mercury 2's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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