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Mercury 2 vs Muse Spark Open

Mercury 2 costs 5.7x less per output token than Muse Spark Open ($0.75 vs $4.25 per million). Updated October 21, 2026; 10 benchmarks have a result for both.

Mercury 2Inception
Coding
No data
Overall
No data
Output $/M
$0.75
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
10
vs boards won of 10 shared

Mercury 2 or Muse Spark Open: which to pick

Only Muse Spark Open has a coding score, 47.4 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
10
Mercury 2 only
32
Muse Spark Open only
18
Like-for-like categories
4 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 Open 47.4 from 4 benchmarks.
Widest category
Coding, 41.1 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: React: Mercury 2 1160 against Muse Spark Open 1529, 61.6 points apart on a 0 to 100 scale.
Output price
Mercury 2 $0.75 against Muse Spark Open $4.25 per million output tokens, 5.7x apart.
Context window
Mercury 2 takes 128K tokens, Muse Spark Open 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 OpenTies
Coding05
Reasoning02
Web design02
General01
All shared boards010
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDev11711528Muse Spark Open
AA Coding Index31.1Not measuredOnly Mercury 2 measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)Not measured76.2%Only Muse Spark Open measured
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
SciCode37.7%58.4%Muse Spark Open
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Mercury 2 measured
WeirdML43.2%Not measuredOnly Mercury 2 measured
ALE-Bench785.61590.1Muse Spark Open
LMArena Text: coding1390Not measuredOnly Mercury 2 measured
LMArena Text: software and IT1385Not measuredOnly Mercury 2 measured
LMArena WebDev: React11601529Muse Spark Open
LMArena WebDev: HTML11991495Muse Spark Open
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
AA Intelligence Index10.8Not measuredOnly Mercury 2 measured
Epoch Capabilities IndexNot measured155.1Only Muse Spark Open measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
AA Agentic Index1.6Not measuredOnly Mercury 2 measured
LiveBench researchNot measured80.3%Only Muse Spark Open measured
LiveBench browserNot measured36.0%Only Muse Spark Open measured
LiveBench long agenticNot measured18.9%Only Muse Spark Open measured
Finance Agent (Vals AI)Not measured61.3%Only Muse Spark Open measured
Tax Agent Bench (Vals AI)Not measured26.3%Only Muse Spark Open measured
Legal Research Bench (Vals AI)Not measured38.5%Only Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured25.0%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
τ²-Bench Telecom70.8%Not measuredOnly Mercury 2 measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)77.0%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)17.1%43.9%Muse Spark Open
LMArena Text: hard prompts1362Not measuredOnly Mercury 2 measured
LMArena Text: expert1358Not measuredOnly Mercury 2 measured
LMArena Text: hard prompts in English1374Not measuredOnly Mercury 2 measured
Neither model has a result on the other 16 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Knowledge benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
LMArena Text: science1343Not measuredOnly Mercury 2 measured
LMArena Text: medicine and healthcare1363Not measuredOnly Mercury 2 measured
LMArena Text: business and finance1349Not measuredOnly Mercury 2 measured
Neither model has a result on the other 15 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
Design Arena: websites10361317Muse Spark Open
Design Arena: UI components998Not measuredOnly Mercury 2 measured
Design Arena: game dev9851294Muse Spark Open
Design Arena: data viz1009Not measuredOnly Mercury 2 measured
Design Arena: 3D983Not measuredOnly Mercury 2 measured
Design Arena: all code categories1022Not measuredOnly Mercury 2 measured
Design Arena: SVG998Not measuredOnly Mercury 2 measured
Design Arena: ASCII art988Not measuredOnly Mercury 2 measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Mercury 2 and Muse Spark Open
BenchmarkMercury 2Muse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
IFBench69.8%Not measuredOnly Mercury 2 measured
Long context reasoning (AA-LCR)43.7%78.3%Muse Spark Open
LMArena Text1354Not measuredOnly Mercury 2 measured
LMArena Text: instruction following1328Not measuredOnly Mercury 2 measured
LMArena Text: creative writing1286Not measuredOnly Mercury 2 measured
LMArena Text: English1378Not measuredOnly Mercury 2 measured
LMArena Text: non-English1330Not measuredOnly Mercury 2 measured
LMArena Text: Chinese1414Not measuredOnly Mercury 2 measured
LMArena Text: Russian1304Not measuredOnly Mercury 2 measured
LMArena Text: multi-turn1357Not measuredOnly Mercury 2 measured
LMArena Text: longer queries1329Not measuredOnly Mercury 2 measured
LMArena Text: writing and language1300Not measuredOnly Mercury 2 measured
LMArena Text: entertainment and media1314Not measuredOnly Mercury 2 measured
Neither model has a result on the other 31 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 Open
BenchmarkMercury 2Muse Spark OpenLeader
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 Open$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 Open$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 Open$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 Open
SpecificationInception Mercury 2Meta Muse Spark Open
MakerInceptionMeta
WeightsNo public weights listedOpen weights
ReleasedMarch 4, 2026October 15, 2026
Context window128K1.05M
Input $/Mtok$0.25$1.25
Output $/Mtok$0.75$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it14
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Muse Spark Open for coding?

Only Muse Spark Open has a coding score, 47.4 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 Open?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for neither of them.

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

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

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

10 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 Open's on 4. Where only one model has a result, the page says so instead of naming a winner.

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