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Muse Spark 1.2 vs Mistral Large 4

Mistral Large 4 leads Muse Spark 1.2 on coding, 56.4 to 55.7 on the Vibe Coding Index, at about the same output price ($4.18 vs $4.25 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace Muse Spark 1.2 Replace Mistral Large 4
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
58
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
8
vs boards won of 67 shared, 1 tied

Muse Spark 1.2 or Mistral Large 4: which to pick

Muse Spark 1.2 and Mistral Large 4 are level for coding, 55.7 against 56.4 on the Vibe Coding Index, so price and context decide.

Pick Muse Spark 1.2 for work measured by LiveBench coding or Vibe Code Bench (Vals AI), where it leads. Pick Mistral Large 4 for output tokens 1.0x cheaper ($4.18 vs $4.25 per million) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Model AMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
67
Muse Spark 1.2 only
30
Mistral Large 4 only
14
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, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Knowledge, 15.2 points apart on average over 6 shared benchmarks.
Widest single gap
SimpleQA Verified: Muse Spark 1.2 60.3% against Mistral Large 4 20.0%, 40.3 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against Mistral Large 4 $4.18 per million output tokens, 1.0x apart.
Context window
Both take 1.05M tokens.

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 1.2BarsMistral Large 4Ties
Coding65
Intelligence20
Agentic work71
Reasoning61
Math30
Knowledge60
Web design90
General1911 tie
All shared boards5881 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index65
Coding benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
LiveBench coding78.2%60.0%Muse Spark 1.2
LMArena WebDev15341543Mistral Large 4
AA Coding Index72.2Not measuredOnly Muse Spark 1.2 measured
SWE-bench Verified (Vals AI)86.6%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)6.1%27.8%Mistral Large 4
Vibe Code Bench (Vals AI)79.1%78.4%Muse Spark 1.2
Code migration (Vals AI)29.9%30.6%Mistral Large 4
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.2 measured
IOI (Vals AI)21.8%45.3%Mistral Large 4
Terminal-Bench 2.1 (Vals AI)69.7%Not measuredOnly Muse Spark 1.2 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
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%54.2%Muse Spark 1.2
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding15051478Muse Spark 1.2
LMArena Text: software and IT15051467Muse Spark 1.2
LMArena WebDev: React15261559Mistral Large 4
LMArena WebDev: HTML15431487Muse Spark 1.2
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
AA Intelligence Index39.638.4Muse Spark 1.2
Epoch Capabilities Index155.1150.0Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index71
Agentic work benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
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 games1179Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1085Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1172Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%28.1%Muse Spark 1.2
LiveBench browser36.0%8.0%Muse Spark 1.2
LiveBench long agentic21.3%11.8%Muse Spark 1.2
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%54.7%Muse Spark 1.2
Tax Agent Bench (Vals AI)32.8%30.4%Muse Spark 1.2
Legal Research Bench (Vals AI)43.8%31.7%Muse Spark 1.2
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)57.0%56.2%Muse Spark 1.2
BioMysteryBench (Vals AI)64.8%67.0%Mistral Large 4
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
LiveBench reasoning90.0%83.9%Muse Spark 1.2
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%Not measuredOnly Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)45.5%35.0%Muse Spark 1.2
GPQA Diamond (Epoch AI run)Not measured88.1%Only Mistral Large 4 measured
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%33.0%Mistral Large 4
Mystery game puzzlesNot measured17.0%Only Mistral Large 4 measured
LMArena Text: hard prompts14891444Muse Spark 1.2
LMArena Text: expert14751444Muse Spark 1.2
LMArena Text: hard prompts in English14871442Muse Spark 1.2
LMArena Vision: diagrams13171288Muse Spark 1.2
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
OTIS Mock AIMENot measured98.3%Only Mistral Large 4 measured
FrontierMath, tiers 1 to 3Not measured58.6%Only Mistral Large 4 measured
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBench43.0%10.0%Muse Spark 1.2
LMArena Text: math14841469Muse Spark 1.2
LMArena Text: mathematical work14801462Muse Spark 1.2
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
MMLU Pro88.3%Not measuredOnly Muse Spark 1.2 measured
LegalBench (Vals AI)85.3%Not measuredOnly Muse Spark 1.2 measured
CorpFin (Vals AI)70.9%Not measuredOnly Muse Spark 1.2 measured
TaxEval (Vals AI)80.4%Not measuredOnly Muse Spark 1.2 measured
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedCode (Vals AI)49.4%40.7%Muse Spark 1.2
SimpleQA Verified60.3%20.0%Muse Spark 1.2
LMArena Text: science15001448Muse Spark 1.2
LMArena Text: medicine and healthcare14961433Muse Spark 1.2
LMArena Text: legal and government15171425Muse Spark 1.2
LMArena Text: business and finance14841439Muse Spark 1.2
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
Design Arena: websites13121257Muse Spark 1.2
Design Arena: UI components12981272Muse Spark 1.2
Design Arena: game dev13011225Muse Spark 1.2
Design Arena: data viz13341275Muse Spark 1.2
Design Arena: 3D13011252Muse Spark 1.2
Design Arena: all code categories13121259Muse Spark 1.2
Design Arena: SVG12841232Muse Spark 1.2
Design Arena: ASCII art12841202Muse Spark 1.2
LiveBench design67.1%65.6%Muse Spark 1.2
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Muse Spark 1.2 and Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
LiveBench data analysis76.5%76.5%Tie
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%80.4%Muse Spark 1.2
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
Long context reasoning (AA-LCR)79.0%81.3%Mistral Large 4
DTBench94.7%88.2%Muse Spark 1.2
LMCA48.4%35.8%Muse Spark 1.2
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text14821431Muse Spark 1.2
LMArena Text: instruction following14621422Muse Spark 1.2
LMArena Text: creative writing14361363Muse Spark 1.2
LMArena Vision13041272Muse Spark 1.2
LMArena Text: English14831433Muse Spark 1.2
LMArena Text: non-English14761422Muse Spark 1.2
LMArena Text: Chinese15091492Muse Spark 1.2
LMArena Text: JapaneseNot measured1415Only Mistral Large 4 measured
LMArena Text: Korean1462Not measuredOnly Muse Spark 1.2 measured
LMArena Text: French14951492Muse Spark 1.2
LMArena Text: Spanish14841455Muse Spark 1.2
LMArena Text: Russian14831417Muse Spark 1.2
LMArena Text: multi-turn15021435Muse Spark 1.2
LMArena Text: longer queries14731428Muse Spark 1.2
LMArena Text: writing and language14531386Muse Spark 1.2
LMArena Text: entertainment and media14431378Muse Spark 1.2
LMArena Vision: English12911283Muse Spark 1.2
LMArena Vision: reading text13131284Muse Spark 1.2
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 Mistral Large 4
BenchmarkMuse Spark 1.2Mistral Large 4Leader
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
Mistral Large 4$0.0034Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
Mistral Large 4$0.081Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
Mistral Large 4$0.314Fits in one request

Muse Spark 1.2 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 Muse Spark 1.2 and Mistral Large 4
SpecificationMeta Muse Spark 1.2Mistral Large 4
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$1.36
Output $/Mtok$4.25$4.18
Coding index55.756.4
Independent measurements behind it55
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than Mistral Large 4 for coding?

Muse Spark 1.2 and Mistral Large 4 are level for coding, 55.7 against 56.4 on the Vibe Coding Index, so price and context decide. Pick Muse Spark 1.2 for work measured by LiveBench coding or Vibe Code Bench (Vals AI), where it leads. Pick Mistral Large 4 for output tokens 1.0x cheaper ($4.18 vs $4.25 per million) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Which is cheaper, Muse Spark 1.2 or Mistral Large 4?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.2 vs Mistral Large 4 comparison based on?

67 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 Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<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-mistral-large-4-0">LLMBenchmark.ai, Muse Spark 1.2 vs Mistral Large 4</a></p>