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Mercury 2 vs Muse Spark 1.2

Muse Spark 1.2 leads Mercury 2 on the Artificial Analysis Intelligence Index, 39.6 to 10.8, and Mercury 2 costs 5.7x less per output token ($0.75 vs $4.25 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Mercury 2Inception
Coding
No data
Overall
No data
Output $/M
$0.75
0
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
38
vs boards won of 38 shared

Mercury 2 or Muse Spark 1.2: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Mercury 2 has none, so the two cannot be ranked on coding.

Pick Mercury 2 for output tokens 5.7x cheaper ($0.75 vs $4.25 per million).

Shared results
38
Mercury 2 only
4
Muse Spark 1.2 only
59
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
Mercury 2 not benchmarked, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 41.6 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: React: Mercury 2 1160 against Muse Spark 1.2 1526, 61.0 points apart on a 0 to 100 scale.
Output price
Mercury 2 $0.75 against Muse Spark 1.2 $4.25 per million output tokens, 5.7x apart.
Context window
Mercury 2 takes 128K 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
CategoryMercury 2BarsMuse Spark 1.2Ties
Coding08
Intelligence01
Agentic work01
Reasoning05
Knowledge03
Web design08
General012
All shared boards038
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Mercury 2 and Muse Spark 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev11711534Muse Spark 1.2
AA Coding Index31.172.2Muse Spark 1.2
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)Not measured79.1%Only Muse Spark 1.2 measured
Code migration (Vals AI)Not measured29.9%Only Muse Spark 1.2 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.2 measured
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.7%Only Muse Spark 1.2 measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCode37.7%57.4%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Mercury 2 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML43.2%60.3%Muse Spark 1.2
ALE-Bench785.6Not measuredOnly Mercury 2 measured
LMArena Text: coding13901505Muse Spark 1.2
LMArena Text: software and IT13851505Muse Spark 1.2
LMArena WebDev: React11601526Muse Spark 1.2
LMArena WebDev: HTML11991543Muse Spark 1.2
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mercury 2 and Muse Spark 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
AA Intelligence Index10.839.6Muse Spark 1.2
Epoch Capabilities IndexNot measured155.1Only Muse Spark 1.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mercury 2 and Muse Spark 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
AA Agentic Index1.643.2Muse 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)Not measured60.6%Only Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Muse Spark 1.2 measured
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom70.8%Not measuredOnly Mercury 2 measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 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 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)Not measured86.1%Only Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)77.0%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)17.1%45.5%Muse Spark 1.2
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzlesNot measured27.0%Only Muse Spark 1.2 measured
LMArena Text: hard prompts13621489Muse Spark 1.2
LMArena Text: expert13581475Muse Spark 1.2
LMArena Text: hard prompts in English13741487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Mercury 2 and Muse Spark 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
ProofBenchNot measured43.0%Only Muse Spark 1.2 measured
LMArena Text: mathNot measured1484Only Muse Spark 1.2 measured
LMArena Text: mathematical workNot measured1480Only Muse Spark 1.2 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 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
MMLU ProNot measured88.3%Only Muse Spark 1.2 measured
LegalBench (Vals AI)Not measured85.3%Only Muse Spark 1.2 measured
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)Not measured80.4%Only Muse Spark 1.2 measured
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)Not measured49.4%Only Muse Spark 1.2 measured
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science13431500Muse Spark 1.2
LMArena Text: medicine and healthcare13631496Muse Spark 1.2
LMArena Text: legal and governmentNot measured1517Only Muse Spark 1.2 measured
LMArena Text: business and finance13491484Muse Spark 1.2
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 1.2
BenchmarkMercury 2Muse Spark 1.2Leader
Design Arena: websites10361312Muse Spark 1.2
Design Arena: UI components9961298Muse Spark 1.2
Design Arena: game dev9841301Muse Spark 1.2
Design Arena: data viz10091334Muse Spark 1.2
Design Arena: 3D9821301Muse Spark 1.2
Design Arena: all code categories10211312Muse Spark 1.2
Design Arena: SVG9981284Muse Spark 1.2
Design Arena: ASCII art9881284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Mercury 2 and Muse Spark 1.2
BenchmarkMercury 2Muse 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)Not measured47.7%Only Muse Spark 1.2 measured
MedScribe (Vals AI)Not measured90.1%Only Muse Spark 1.2 measured
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
IFBench69.8%Not measuredOnly Mercury 2 measured
Long context reasoning (AA-LCR)43.7%79.0%Muse Spark 1.2
DTBenchNot measured94.7%Only Muse Spark 1.2 measured
LMCANot measured48.4%Only Muse Spark 1.2 measured
LMArena Text13541482Muse Spark 1.2
LMArena Text: instruction following13281462Muse Spark 1.2
LMArena Text: creative writing12861436Muse Spark 1.2
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English13781483Muse Spark 1.2
LMArena Text: non-English13301476Muse Spark 1.2
LMArena Text: Chinese14141509Muse Spark 1.2
LMArena Text: KoreanNot measured1462Only Muse Spark 1.2 measured
LMArena Text: FrenchNot measured1495Only Muse Spark 1.2 measured
LMArena Text: SpanishNot measured1484Only Muse Spark 1.2 measured
LMArena Text: Russian13041483Muse Spark 1.2
LMArena Text: multi-turn13571502Muse Spark 1.2
LMArena Text: longer queries13291473Muse Spark 1.2
LMArena Text: writing and language13001453Muse Spark 1.2
LMArena Text: entertainment and media13141443Muse Spark 1.2
LMArena Vision: EnglishNot measured1291Only Muse Spark 1.2 measured
LMArena Vision: reading textNot measured1313Only Muse Spark 1.2 measured
Neither model has a result on the other 20 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 1.2
BenchmarkMercury 2Muse 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

Mercury 2$0.0006Fits in one request
Muse Spark 1.2$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 1.2$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 1.2$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 1.2
SpecificationInception Mercury 2Meta Muse Spark 1.2
MakerInceptionMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 4, 2026August 5, 2026
Context window128K1.05M
Input $/Mtok$0.25$1.25
Output $/Mtok$0.75$4.25
Coding indexNot benchmarked55.7
Independent measurements behind it15
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Muse Spark 1.2 for coding?

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Mercury 2 has none, so the two cannot be ranked on coding. Pick Mercury 2 for output tokens 5.7x cheaper ($0.75 vs $4.25 per million).

Which is cheaper, Mercury 2 or Muse Spark 1.2?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Mercury 2 or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 128K.

How many benchmarks is the Mercury 2 vs Muse Spark 1.2 comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Mercury 2's coding index rests on 1 independent benchmark 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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