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Mercury 3 vs Muse Spark Open

Mercury 3 costs 12.1x less per output token than Muse Spark Open ($0.35 vs $4.25 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

Mercury 3Inception
Coding
No data
Overall
No data
Output $/M
$0.35
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
2
vs boards won of 2 shared

Mercury 3 or Muse Spark Open: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Mercury 3 has none, so the two cannot be ranked on coding.

Pick Mercury 3 for output tokens 12.1x cheaper ($0.35 vs $4.25 per million).

Shared results
2
Mercury 3 only
3
Muse Spark Open only
26
Like-for-like categories
1 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 3 not benchmarked, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Web design, 7.8 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: Mercury 3 1242 against Muse Spark Open 1310, 8.5 points apart on a 0 to 100 scale.
Output price
Mercury 3 $0.35 against Muse Spark Open $4.25 per million output tokens, 12.1x apart.
Context window
Mercury 3 takes 1M 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 3BarsMuse Spark OpenTies
Web design02
All shared boards02
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open 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
SciCodeNot measured58.4%Only Muse Spark Open measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTMLNot measured1495Only Muse Spark Open measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
Epoch Capabilities IndexNot measured155.1Only Muse Spark Open measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
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
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Neither model has a result on the other 32 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Reasoning benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)Not measured89.0%Only Muse Spark Open measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.9%Only Muse Spark Open measured
Neither model has a result on the other 19 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
Neither model has a result on 18 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
Design Arena: websites12421310Muse Spark Open
Design Arena: UI components1255Not measuredOnly Mercury 3 measured
Design Arena: game dev12251282Muse Spark Open
Design Arena: data viz1192Not measuredOnly Mercury 3 measured
Design Arena: all code categories1237Not measuredOnly Mercury 3 measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
Long context reasoning (AA-LCR)Not measured78.3%Only Muse Spark Open measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mercury 3 and Muse Spark Open
BenchmarkMercury 3Muse 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 3$0.0003Fits in one request
Muse Spark Open$0.0034Fits in one request

Mercury 3 costs less

Repository review

50K input + 3K output tokens

Mercury 3$0.0060Fits in one request
Muse Spark Open$0.075Fits in one request

Mercury 3 costs less

Agent loop

200K input + 10K output tokens

Mercury 3$0.024Fits in one request
Muse Spark Open$0.292Fits in one request

Mercury 3 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 3 and Muse Spark Open
SpecificationInception Mercury 3Meta Muse Spark Open
MakerInceptionMeta
WeightsNo public weights listedOpen weights
ReleasedOctober 16, 2026October 15, 2026
Context window1M1.05M
Input $/Mtok$0.10$1.25
Output $/Mtok$0.35$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 3 better than Muse Spark Open for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Mercury 3 has none, so the two cannot be ranked on coding. Pick Mercury 3 for output tokens 12.1x cheaper ($0.35 vs $4.25 per million).

Which is cheaper, Mercury 3 or Muse Spark Open?

Mercury 3 costs $0.10 per million input tokens and $0.35 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 3 or Muse Spark Open?

Muse Spark Open, with 1.05M tokens against 1M.

How many benchmarks is the Mercury 3 vs Muse Spark Open comparison based on?

2 benchmarks have a result for both models as of October 22, 2026. Mercury 3's coding index rests on 0 independent benchmarks 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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