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Muse Spark 1.1 vs Mistral Large 3 2512

Muse Spark 1.1 leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 33.7 to 9.3, and Mistral Large 3 2512 costs 2.8x less per output token ($1.50 vs $4.25 per million). Updated October 22, 2026; 23 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
23
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
0
vs boards won of 23 shared

Muse Spark 1.1 or Mistral Large 3 2512: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for output tokens 2.8x cheaper ($1.50 vs $4.25 per million).

Shared results
23
Muse Spark 1.1 only
73
Mistral Large 3 2512 only
5
Like-for-like categories
7 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 1.1 70.3 from 3 benchmarks, Mistral Large 3 2512 not benchmarked.
Widest category
Coding, 40.8 points apart on average over 3 shared benchmarks.
Widest single gap
AA Coding Index: Muse Spark 1.1 71.3 against Mistral Large 3 2512 20.1, 51.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Mistral Large 3 2512 $1.50 per million output tokens, 2.8x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Mistral Large 3 2512 262K.

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 1.1BarsMistral Large 3 2512Ties
Coding30
Intelligence10
Agentic work10
Reasoning20
Knowledge50
Web design80
General30
All shared boards230
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
LMArena WebDev1542Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.320.1Muse Spark 1.1
LiveCodeBench (Vals AI)85.9%55.3%Muse Spark 1.1
SWE-bench Verified (Vals AI)82.0%41.4%Muse Spark 1.1
Vibe Code Bench (Vals AI)72.2%Not measuredOnly Muse Spark 1.1 measured
Code migration (Vals AI)31.1%Not measuredOnly Muse Spark 1.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
ALE-BenchNot measured264.7Only Mistral Large 3 2512 measured
LMArena Text: coding1498Not measuredOnly Muse Spark 1.1 measured
LMArena Text: software and IT1498Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1540Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
AA Intelligence Index33.79.3Muse Spark 1.1
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
AA Agentic Index25.81.0Muse Spark 1.1
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1175Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1195Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1155Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1042Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%Not measuredOnly Muse Spark 1.1 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)56.4%Not measuredOnly Muse Spark 1.1 measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
GPQA Diamond91.2%68.4%Muse Spark 1.1
MMMU Pro (Vals AI)86.6%66.2%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)89.8%Not measuredOnly Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)46.2%Not measuredOnly Muse Spark 1.1 measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts1485Not measuredOnly Muse Spark 1.1 measured
LMArena Text: expert1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts in English1480Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
AIMENot measured42.9%Only Mistral Large 3 2512 measured
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: mathematical work1487Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
MMLU Pro88.7%79.8%Muse Spark 1.1
LegalBench (Vals AI)85.0%79.1%Muse Spark 1.1
CaseLaw (Vals AI)Not measured61.4%Only Mistral Large 3 2512 measured
CorpFin (Vals AI)71.3%61.0%Muse Spark 1.1
TaxEval (Vals AI)79.7%73.1%Muse Spark 1.1
MortgageTax (Vals AI)66.1%52.1%Muse Spark 1.1
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: science1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: medicine and healthcare1479Not measuredOnly Muse Spark 1.1 measured
LMArena Text: legal and government1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: business and finance1470Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
Design Arena: websites12701162Muse Spark 1.1
Design Arena: UI components12891099Muse Spark 1.1
Design Arena: game dev12691080Muse Spark 1.1
Design Arena: data viz12681136Muse Spark 1.1
Design Arena: 3D12601099Muse Spark 1.1
Design Arena: all code categories12761141Muse Spark 1.1
Design Arena: SVG1235992Muse Spark 1.1
Design Arena: ASCII art12711069Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%24.6%Muse Spark 1.1
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
Long context reasoning (AA-LCR)77.7%Not measuredOnly Muse Spark 1.1 measured
DTBench94.4%65.1%Muse Spark 1.1
LMCA49.9%16.7%Muse Spark 1.1
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: instruction following1457Not measuredOnly Muse Spark 1.1 measured
LMArena Text: creative writing1435Not measuredOnly Muse Spark 1.1 measured
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: non-English1471Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Chinese1515Not measuredOnly Muse Spark 1.1 measured
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1459Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French1492Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish1464Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: longer queries1462Not measuredOnly Muse Spark 1.1 measured
LMArena Text: writing and language1448Not measuredOnly Muse Spark 1.1 measured
LMArena Text: entertainment and media1438Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.1 and Mistral Large 3 2512
BenchmarkMuse Spark 1.1Mistral Large 3 2512Leader
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 1.1$0.0034Fits in one request
Mistral Large 3 2512$0.0013Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Mistral Large 3 2512$0.029Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Mistral Large 3 2512$0.115Fits in one request

Mistral Large 3 2512 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 1.1 and Mistral Large 3 2512
SpecificationMeta Muse Spark 1.1Mistral Large 3 2512
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 16, 2026December 1, 2025
Context window1.05M262K
Input $/Mtok$1.25$0.50
Output $/Mtok$4.25$1.50
Coding index70.3Not benchmarked
Independent measurements behind it31
Cost per solved task$0.43$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Mistral Large 3 2512 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 2.8x cheaper ($1.50 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Mistral Large 3 2512?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, Muse Spark 1.1 costs $0.43 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, Muse Spark 1.1 or Mistral Large 3 2512?

Muse Spark 1.1, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.1 vs Mistral Large 3 2512 comparison based on?

23 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Mistral Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

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