Enter opens the highlighted result. Esc closes.

LongCat 2.0 vs Muse Spark Open

LongCat 2.0 costs 3.5x less per output token than Muse Spark Open ($1.20 vs $4.25 per million). Updated October 22, 2026; 5 benchmarks have a result for both.

LongCat 2.0Meituan
Coding
No data
Overall
No data
Output $/M
$1.20
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
5
vs boards won of 5 shared

LongCat 2.0 or Muse Spark Open: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; LongCat 2.0 has none, so the two cannot be ranked on coding.

Pick LongCat 2.0 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million) and a larger context window (1.05M against 1.05M tokens).

Shared results
5
LongCat 2.0 only
3
Muse Spark Open only
23
Like-for-like categories
3 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
LongCat 2.0 not benchmarked, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Coding, 24.3 points apart on average over 2 shared benchmarks.
Widest single gap
ALE-Bench: LongCat 2.0 793.5 against Muse Spark Open 1590.1, 26.6 points apart on a 0 to 100 scale.
Output price
LongCat 2.0 $1.20 against Muse Spark Open $4.25 per million output tokens, 3.5x apart.
Context window
LongCat 2.0 takes 1.05M 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
CategoryLongCat 2.0BarsMuse Spark OpenTies
Coding02
Reasoning02
General01
All shared boards05
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open measured
AA Coding Index45.3Not measuredOnly LongCat 2.0 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
SciCode36.3%58.4%Muse Spark Open
ALE-Bench793.51590.1Muse Spark Open
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTMLNot measured1495Only Muse Spark Open measured
Neither model has a result on the other 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse Spark OpenLeader
AA Intelligence Index19.1Not measuredOnly LongCat 2.0 measured
Epoch Capabilities IndexNot measured155.1Only Muse Spark Open measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse Spark OpenLeader
AA Agentic Index14.0Not measuredOnly LongCat 2.0 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
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)78.0%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)33.7%43.9%Muse Spark Open
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 LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse 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 LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse Spark OpenLeader
Neither model has a result on 18 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse Spark OpenLeader
Design Arena: websitesNot measured1310Only Muse Spark Open measured
Design Arena: game devNot measured1282Only Muse Spark Open measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 6 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse 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)65.0%78.3%Muse Spark Open
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 LongCat 2.0 and Muse Spark Open
BenchmarkLongCat 2.0Muse 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

LongCat 2.0$0.0009Fits in one request
Muse Spark Open$0.0034Fits in one request

LongCat 2.0 costs less

Repository review

50K input + 3K output tokens

LongCat 2.0$0.019Fits in one request
Muse Spark Open$0.075Fits in one request

LongCat 2.0 costs less

Agent loop

200K input + 10K output tokens

LongCat 2.0$0.072Fits in one request
Muse Spark Open$0.292Fits in one request

LongCat 2.0 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 LongCat 2.0 and Muse Spark Open
SpecificationMeituan LongCat 2.0Meta Muse Spark Open
MakerMeituanMeta
WeightsOpen weightsOpen weights
ReleasedJuly 20, 2026October 15, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$1.25
Output $/Mtok$1.20$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is LongCat 2.0 better than Muse Spark Open for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; LongCat 2.0 has none, so the two cannot be ranked on coding. Pick LongCat 2.0 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million) and a larger context window (1.05M against 1.05M tokens).

Which is cheaper, LongCat 2.0 or Muse Spark Open?

LongCat 2.0 costs $0.30 per million input tokens and $1.20 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, LongCat 2.0 or Muse Spark Open?

LongCat 2.0, with 1.05M tokens against 1.05M.

How many benchmarks is the LongCat 2.0 vs Muse Spark Open comparison based on?

5 benchmarks have a result for both models as of October 22, 2026. LongCat 2.0'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.

Compare next