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Muse Spark 1.3 vs Mistral Large 4

Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Muse Spark 1.3 Replace Mistral Large 4
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
66
Mistral Large 4Mistral AI
Coding
55.3
Overall
38.4
Output $/M
$4.18
3
vs boards won of 69 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 55.3 for Mistral Large 4.

Pick Mistral Large 4 when output tokens cost 1.0x less, or when what matters is Terminal-Bench 4 (Vals AI) or Code migration (Vals AI), where it leads.

Model AMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved taskModel BMistral Large 4Mistral AI55.3/1002 independent benchmarksNo cost per solved task
Shared results
69
Muse Spark 1.3 only
23
Mistral Large 4 only
12
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 1.3 79.7 from 2 benchmarks, Mistral Large 4 55.3 from 2 benchmarks.
Widest category
Agentic work, 23.8 points apart on average over 7 shared benchmarks.
Widest single gap
LiveBench browser: Muse Spark 1.3 80.0% against Mistral Large 4 8.0%, 72.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $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 1.3BarsMistral Large 4Ties
Coding93
Intelligence20
Agentic work70
Reasoning80
Math60
Knowledge40
Web design90
General210
All shared boards663
CodingLike-for-likeFour of these boards feed the Vibe Coding Index93
Coding benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
LiveBench coding90.2%60.0%Muse Spark 1.3
LMArena WebDev16591543Muse Spark 1.3
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)10.6%27.8%Mistral Large 4
Vibe Code Bench (Vals AI)82.9%78.4%Muse Spark 1.3
Code migration (Vals AI)27.6%30.6%Mistral Large 4
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.3 measured
IOI (Vals AI)43.9%45.3%Mistral Large 4
Terminal-Bench 2.1 (Vals AI)72.3%Not measuredOnly Muse Spark 1.3 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
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
SciCode59.7%54.2%Muse Spark 1.3
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.31213.2Muse Spark 1.3
LMArena Text: coding15101478Muse Spark 1.3
LMArena Text: software and IT15111467Muse Spark 1.3
LMArena WebDev: React16721559Muse Spark 1.3
LMArena WebDev: HTML16531487Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
AA Intelligence Index48.138.4Muse Spark 1.3
Epoch Capabilities Index157.2150.0Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
AA Agentic Index55.5Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building web apps1297Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building full-stack apps1295Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building mobile apps1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1244Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1048Not measuredOnly Muse Spark 1.3 measured
LiveBench research68.6%28.1%Muse Spark 1.3
LiveBench browser80.0%8.0%Muse Spark 1.3
LiveBench long agentic40.4%11.8%Muse Spark 1.3
Finance Agent (Vals AI)58.9%54.7%Muse Spark 1.3
Tax Agent Bench (Vals AI)36.0%30.4%Muse Spark 1.3
Legal Research Bench (Vals AI)40.9%31.7%Muse Spark 1.3
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)62.7%56.2%Muse Spark 1.3
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
LiveBench reasoning89.7%83.9%Muse Spark 1.3
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
GPQA Diamond (Artificial Analysis run)94.1%Not measuredOnly Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)48.7%35.0%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured88.1%Only Mistral Large 4 measured
Chess puzzles37.0%33.0%Muse Spark 1.3
Mystery game puzzles25.0%17.0%Muse Spark 1.3
LMArena Text: hard prompts15031444Muse Spark 1.3
LMArena Text: expert15191444Muse Spark 1.3
LMArena Text: hard prompts in English15001442Muse Spark 1.3
LMArena Vision: diagrams13301288Muse Spark 1.3
LMArena Vision: homework1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
OTIS Mock AIME99.2%98.3%Muse Spark 1.3
FrontierMath, tiers 1 to 374.4%58.6%Muse Spark 1.3
FrontierMath, tier 446.3%26.8%Muse Spark 1.3
ProofBench58.0%10.0%Muse Spark 1.3
LMArena Text: math14971469Muse Spark 1.3
LMArena Text: mathematical work14911462Muse Spark 1.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: science15071448Muse Spark 1.3
LMArena Text: medicine and healthcare14931433Muse Spark 1.3
LMArena Text: legal and government14991425Muse Spark 1.3
LMArena Text: business and finance14901439Muse Spark 1.3
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
Design Arena: websites13561258Muse Spark 1.3
Design Arena: UI components13521275Muse Spark 1.3
Design Arena: game dev13291226Muse Spark 1.3
Design Arena: data viz13431274Muse Spark 1.3
Design Arena: 3D13591253Muse Spark 1.3
Design Arena: all code categories13531259Muse Spark 1.3
Design Arena: SVG13001232Muse Spark 1.3
Design Arena: ASCII art12801203Muse Spark 1.3
LiveBench design74.8%65.6%Muse Spark 1.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral Large 4Leader
LiveBench data analysis79.6%76.5%Muse Spark 1.3
MedScribe (Vals AI)Not measured80.4%Only Mistral Large 4 measured
Long context reasoning (AA-LCR)83.0%81.3%Muse Spark 1.3
DTBench96.5%88.2%Muse Spark 1.3
LMCA53.9%35.8%Muse Spark 1.3
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text14901431Muse Spark 1.3
LMArena Text: instruction following14791422Muse Spark 1.3
LMArena Text: creative writing14621363Muse Spark 1.3
LMArena Vision13081272Muse Spark 1.3
LMArena Text: English14951433Muse Spark 1.3
LMArena Text: non-English14811422Muse Spark 1.3
LMArena Text: Chinese15321492Muse Spark 1.3
LMArena Text: German1513Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Japanese14701415Muse Spark 1.3
LMArena Text: Korean1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: French15111492Muse Spark 1.3
LMArena Text: Spanish14961455Muse Spark 1.3
LMArena Text: Russian14911417Muse Spark 1.3
LMArena Text: Polish1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: multi-turn14871435Muse Spark 1.3
LMArena Text: longer queries14881428Muse Spark 1.3
LMArena Text: writing and language14701386Muse Spark 1.3
LMArena Text: entertainment and media14571378Muse Spark 1.3
LMArena Vision: English12981283Muse Spark 1.3
LMArena Vision: Chinese1384Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: reading text13191284Muse Spark 1.3
LMArena Vision: humor1293Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: creative writing1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.3 and Mistral Large 4
BenchmarkMuse Spark 1.3Mistral 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 1.3$0.0034Fits in one request
Mistral Large 4$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Mistral Large 4$0.081Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Mistral Large 4$0.314Fits in one request

Muse Spark 1.3 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 Muse Spark 1.3 and Mistral Large 4
SpecificationMeta Muse Spark 1.3Mistral Large 4
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$1.36
Output $/Mtok$4.25$4.18
Coding index79.755.3
Independent measurements behind it22
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Mistral Large 4 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 55.3 for Mistral Large 4. Pick Mistral Large 4 when output tokens cost 1.0x less, or when what matters is Terminal-Bench 4 (Vals AI) or Code migration (Vals AI), where it leads.

Which is cheaper, Muse Spark 1.3 or Mistral Large 4?

Muse Spark 1.3 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 neither of them.

Which has the bigger context window, Muse Spark 1.3 or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.3 vs Mistral Large 4 comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 2 independent benchmarks and Mistral Large 4's on 2. 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-1-3-vs-mistral-large-4-0">LLMBenchmark.ai, Muse Spark 1.3 vs Mistral Large 4</a></p>