Enter opens the highlighted result. Esc closes.

Muse Spark Open vs MiniMax M1

MiniMax M1 costs 1.9x less per output token than Muse Spark Open ($2.20 vs $4.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
vs $4.25 vs $2.20 per 1M output tokens. MiniMax M1 is 1.9x cheaper.

Muse Spark Open or MiniMax M1: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding.

Pick MiniMax M1 for output tokens 1.9x cheaper ($2.20 vs $4.25 per million).

No benchmark has tested both yet. Muse Spark Open has results on LiveBench coding, LMArena WebDev and Terminal-Bench 4 (Vals AI); MiniMax M1 on LMArena Text: coding, LMArena Text: software and IT and AA Intelligence Index. Compare them on price and context instead.

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
Muse Spark Open 47.4 from 4 benchmarks, MiniMax M1 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Muse Spark Open $4.25 against MiniMax M1 $2.20 per million output tokens, 1.9x apart.
Context window
Muse Spark Open takes 1.05M tokens, MiniMax M1 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index11 boards measured
Coding benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
LiveBench coding73.6%Not measuredOnly Muse Spark Open measured
LMArena WebDev1528Not measuredOnly Muse Spark Open measured
Terminal-Bench 4 (Vals AI)6.6%Not measuredOnly Muse Spark Open measured
Vibe Code Bench (Vals AI)76.2%Not measuredOnly Muse Spark Open measured
Code migration (Vals AI)21.2%Not measuredOnly Muse Spark Open measured
SciCode58.4%Not measuredOnly Muse Spark Open measured
ALE-Bench1590.1Not measuredOnly Muse Spark Open measured
LMArena Text: codingNot measured1359Only MiniMax M1 measured
LMArena Text: software and ITNot measured1359Only MiniMax M1 measured
LMArena WebDev: React1529Not measuredOnly Muse Spark Open measured
LMArena WebDev: HTML1495Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
AA Intelligence IndexNot measured11.7Only MiniMax M1 measured
Epoch Capabilities Index155.1Not measuredOnly Muse Spark Open measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Agentic work benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
LiveBench research80.3%Not measuredOnly Muse Spark Open measured
LiveBench browser36.0%Not measuredOnly Muse Spark Open measured
LiveBench long agentic18.9%Not measuredOnly Muse Spark Open measured
Finance Agent (Vals AI)61.3%Not measuredOnly Muse Spark Open measured
Tax Agent Bench (Vals AI)26.3%Not measuredOnly Muse Spark Open measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)25.0%Not measuredOnly Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)53.7%Not measuredOnly Muse Spark Open measured
APEX-Agents33.4%Not measuredOnly 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 index6 boards measured
Reasoning benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
LiveBench reasoning73.7%Not measuredOnly Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)89.0%Not measuredOnly Muse Spark Open measured
Humanity's Last Exam (Artificial Analysis run)43.9%Not measuredOnly Muse Spark Open measured
LMArena Text: hard promptsNot measured1339Only MiniMax M1 measured
LMArena Text: expertNot measured1317Only MiniMax M1 measured
LMArena Text: hard prompts in EnglishNot measured1353Only MiniMax M1 measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
LMArena Text: mathNot measured1361Only MiniMax M1 measured
LMArena Text: mathematical workNot measured1363Only MiniMax M1 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
LMArena Text: scienceNot measured1354Only MiniMax M1 measured
LMArena Text: medicine and healthcareNot measured1355Only MiniMax M1 measured
LMArena Text: legal and governmentNot measured1337Only MiniMax M1 measured
LMArena Text: business and financeNot measured1319Only MiniMax M1 measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Web design benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
Design Arena: websites1310Not measuredOnly Muse Spark Open measured
Design Arena: game dev1282Not measuredOnly Muse Spark Open measured
LiveBench design60.3%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 6 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index20 boards measured
General benchmarks for Muse Spark Open and MiniMax M1
BenchmarkMuse Spark OpenMiniMax M1Leader
Vals Index48.6%Not measuredOnly Muse Spark Open measured
LiveBench data analysis60.2%Not measuredOnly Muse Spark Open measured
Long context reasoning (AA-LCR)78.3%Not measuredOnly Muse Spark Open measured
LMArena TextNot measured1343Only MiniMax M1 measured
LMArena Text: instruction followingNot measured1312Only MiniMax M1 measured
LMArena Text: creative writingNot measured1297Only MiniMax M1 measured
LMArena Text: EnglishNot measured1363Only MiniMax M1 measured
LMArena Text: non-EnglishNot measured1319Only MiniMax M1 measured
LMArena Text: ChineseNot measured1360Only MiniMax M1 measured
LMArena Text: GermanNot measured1350Only MiniMax M1 measured
LMArena Text: JapaneseNot measured1217Only MiniMax M1 measured
LMArena Text: KoreanNot measured1266Only MiniMax M1 measured
LMArena Text: FrenchNot measured1370Only MiniMax M1 measured
LMArena Text: SpanishNot measured1353Only MiniMax M1 measured
LMArena Text: RussianNot measured1329Only MiniMax M1 measured
LMArena Text: PolishNot measured1329Only MiniMax M1 measured
LMArena Text: multi-turnNot measured1335Only MiniMax M1 measured
LMArena Text: longer queriesNot measured1326Only MiniMax M1 measured
LMArena Text: writing and languageNot measured1311Only MiniMax M1 measured
LMArena Text: entertainment and mediaNot measured1303Only MiniMax M1 measured
Neither model has a result on the other 26 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

Muse Spark Open$0.0034Fits in one request
MiniMax M1$0.0015Fits in one request

MiniMax M1 costs less

Repository review

50K input + 3K output tokens

Muse Spark Open$0.075Fits in one request
MiniMax M1$0.027Fits in one request

MiniMax M1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark Open$0.292Fits in one request
MiniMax M1$0.102Fits in one request

MiniMax M1 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 Muse Spark Open and MiniMax M1
SpecificationMeta Muse Spark OpenMiniMax M1
MakerMetaMiniMax
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026June 17, 2025
Context window1.05M1M
Input $/Mtok$1.25$0.40
Output $/Mtok$4.25$2.20
Coding index47.4Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark Open better than MiniMax M1 for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding. Pick MiniMax M1 for output tokens 1.9x cheaper ($2.20 vs $4.25 per million).

Which is cheaper, Muse Spark Open or MiniMax M1?

Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark Open or MiniMax M1?

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

Has any benchmark tested both Muse Spark Open and MiniMax M1?

No benchmark has tested both yet. Muse Spark Open has results on LiveBench coding, LMArena WebDev and Terminal-Bench 4 (Vals AI); MiniMax M1 on LMArena Text: coding, LMArena Text: software and IT and AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.

Compare next