Enter opens the highlighted result. Esc closes.

Muse Spark 1.2 vs MiniMax M2.7

Muse Spark 1.2 leads MiniMax M2.7 on coding, 55.7 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 3.5x less per output token ($1.20 vs $4.25 per million). Updated October 22, 2026; 61 benchmarks have a result for both.

Replace Muse Spark 1.2 Replace MiniMax M2.7
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
61
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
0
vs boards won of 61 shared

Muse Spark 1.2 or MiniMax M2.7: which to pick

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).

Model AMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
61
Muse Spark 1.2 only
36
MiniMax M2.7 only
13
Like-for-like categories
8 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
Muse Spark 1.2 55.7 from 5 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 29.6 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.2 79.1% against MiniMax M2.7 11.9%, 67.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against MiniMax M2.7 $1.20 per million output tokens, 3.5x apart.
Context window
Muse Spark 1.2 takes 1.05M tokens, MiniMax M2.7 205K.

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
CategoryMuse Spark 1.2BarsMiniMax M2.7Ties
Coding130
Intelligence20
Agentic work50
Reasoning50
Math30
Knowledge90
Web design80
General160
All shared boards610
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
LiveBench coding78.2%Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev15341399Muse Spark 1.2
AA Coding Index72.252.6Muse Spark 1.2
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)86.6%73.8%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%11.9%Muse Spark 1.2
Code migration (Vals AI)29.9%8.7%Muse Spark 1.2
ProgramBench (Vals AI)0.5%0.0%Muse Spark 1.2
IOI (Vals AI)21.8%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)69.7%48.7%Muse Spark 1.2
SkillsBench (Vals AI)53.0%Not measuredOnly Muse Spark 1.2 measured
CyberBench (Vals AI)69.5%Not measuredOnly Muse Spark 1.2 measured
SciCode57.4%50.1%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%37.0%Muse Spark 1.2
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding15051454Muse Spark 1.2
LMArena Text: software and IT15051446Muse Spark 1.2
LMArena WebDev: React15261388Muse Spark 1.2
LMArena WebDev: HTML15431401Muse Spark 1.2
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
AA Intelligence Index39.622.8Muse Spark 1.2
Epoch Capabilities Index155.1145.8Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
AA Agentic Index43.215.3Muse Spark 1.2
Design Arena: agents building web apps1221Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1181Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1222Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1178Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1074Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1170Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%Not measuredOnly Muse Spark 1.2 measured
LiveBench browser36.0%Not measuredOnly Muse Spark 1.2 measured
LiveBench long agentic21.3%Not measuredOnly Muse Spark 1.2 measured
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%27.9%Muse Spark 1.2
Tax Agent Bench (Vals AI)32.8%6.9%Muse Spark 1.2
Legal Research Bench (Vals AI)43.8%10.6%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)57.0%28.4%Muse Spark 1.2
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
τ²-Bench TelecomNot measured84.8%Only MiniMax M2.7 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
LiveBench reasoning90.0%Not measuredOnly Muse Spark 1.2 measured
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%87.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)45.5%29.6%Muse Spark 1.2
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts14891422Muse Spark 1.2
LMArena Text: expert14751443Muse Spark 1.2
LMArena Text: hard prompts in English14871441Muse Spark 1.2
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
ProofBench43.0%3.0%Muse Spark 1.2
LMArena Text: math14841421Muse Spark 1.2
LMArena Text: mathematical work14801437Muse Spark 1.2
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
MMLU Pro88.3%80.4%Muse Spark 1.2
LegalBench (Vals AI)85.3%84.0%Muse Spark 1.2
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)70.9%61.2%Muse Spark 1.2
TaxEval (Vals AI)80.4%66.6%Muse Spark 1.2
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedCode (Vals AI)49.4%34.4%Muse Spark 1.2
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science15001416Muse Spark 1.2
LMArena Text: medicine and healthcare14961409Muse Spark 1.2
LMArena Text: legal and government15171403Muse Spark 1.2
LMArena Text: business and finance14841407Muse Spark 1.2
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
Design Arena: websites13121242Muse Spark 1.2
Design Arena: UI components12991207Muse Spark 1.2
Design Arena: game dev13001209Muse Spark 1.2
Design Arena: data viz13341233Muse Spark 1.2
Design Arena: 3D13001194Muse Spark 1.2
Design Arena: all code categories13121233Muse Spark 1.2
Design Arena: SVG12831137Muse Spark 1.2
Design Arena: ASCII art12841136Muse Spark 1.2
LiveBench design67.1%Not measuredOnly Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
LiveBench data analysis76.5%Not measuredOnly Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
SAGE (Vals AI)47.7%Not measuredOnly Muse Spark 1.2 measured
MedScribe (Vals AI)90.1%79.9%Muse Spark 1.2
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)79.0%78.3%Muse Spark 1.2
DTBench94.7%Not measuredOnly Muse Spark 1.2 measured
LMCA48.4%Not measuredOnly Muse Spark 1.2 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14821405Muse Spark 1.2
LMArena Text: instruction following14621405Muse Spark 1.2
LMArena Text: creative writing14361354Muse Spark 1.2
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English14831426Muse Spark 1.2
LMArena Text: non-English14761382Muse Spark 1.2
LMArena Text: Chinese15091442Muse Spark 1.2
LMArena Text: GermanNot measured1398Only MiniMax M2.7 measured
LMArena Text: JapaneseNot measured1260Only MiniMax M2.7 measured
LMArena Text: Korean14621314Muse Spark 1.2
LMArena Text: French14951424Muse Spark 1.2
LMArena Text: Spanish14841402Muse Spark 1.2
LMArena Text: Russian14831383Muse Spark 1.2
LMArena Text: PolishNot measured1387Only MiniMax M2.7 measured
LMArena Text: multi-turn15021412Muse Spark 1.2
LMArena Text: longer queries14731418Muse Spark 1.2
LMArena Text: writing and language14531376Muse Spark 1.2
LMArena Text: entertainment and media14431360Muse Spark 1.2
LMArena Vision: English1291Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: reading text1313Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.2 and MiniMax M2.7
BenchmarkMuse Spark 1.2MiniMax M2.7Leader
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

Muse Spark 1.2$0.0034Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 1.2 and MiniMax M2.7
SpecificationMeta Muse Spark 1.2MiniMax M2.7
MakerMetaMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$1.25$0.30
Output $/Mtok$4.25$1.20
Coding index55.736.2
Independent measurements behind it53
Cost per solved task$0.64$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than MiniMax M2.7 for coding?

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).

Which is cheaper, Muse Spark 1.2 or MiniMax M2.7?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and MiniMax M2.7 $0.64.

Which has the bigger context window, Muse Spark 1.2 or MiniMax M2.7?

Muse Spark 1.2, with 1.05M tokens against 205K.

How many benchmarks is the Muse Spark 1.2 vs MiniMax M2.7 comparison based on?

61 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.2's coding index rests on 5 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-spark-1-2-vs-minimax-minimax-m2-7" title="Muse Spark 1.2 vs MiniMax M2.7, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-2-vs-minimax-minimax-m2-7">LLMBenchmark.ai, Muse Spark 1.2 vs MiniMax M2.7</a></p>