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Muse Spark Open vs Mistral Medium 3.1

Mistral Medium 3.1 costs 2.1x less per output token than Muse Spark Open ($2.00 vs $4.25 per million). Updated October 21, 2026; 7 benchmarks have a result for both.

Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
7
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
vs boards won of 7 shared

Muse Spark Open or Mistral Medium 3.1: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 2.1x cheaper ($2.00 vs $4.25 per million).

Shared results
7
Muse Spark Open only
21
Mistral Medium 3.1 only
67
Like-for-like categories
4 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 Open 47.4 from 4 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Coding, 36.0 points apart on average over 2 shared benchmarks.
Widest single gap
ALE-Bench: Muse Spark Open 1590.1 against Mistral Medium 3.1 210.2, 46.0 points apart on a 0 to 100 scale.
Output price
Muse Spark Open $4.25 against Mistral Medium 3.1 $2.00 per million output tokens, 2.1x apart.
Context window
Muse Spark Open takes 1.05M tokens, Mistral Medium 3.1 131K.

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 OpenBarsMistral Medium 3.1Ties
Coding20
Reasoning20
Web design20
General10
All shared boards70
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
LiveBench coding73.6%Not measuredOnly Muse Spark Open measured
LMArena WebDev1528Not measuredOnly Muse Spark Open measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 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
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCode58.4%32.4%Muse Spark Open
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
ALE-Bench1590.1210.2Muse Spark Open
LMArena Text: codingNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: software and ITNot measured1436Only Mistral Medium 3.1 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 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
AA Intelligence IndexNot measured9.2Only Mistral Medium 3.1 measured
Epoch Capabilities Index155.1Not measuredOnly Muse Spark Open measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
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
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
APEX-Agents33.4%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
LiveBench reasoning73.7%Not measuredOnly Muse Spark Open measured
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)89.0%58.8%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)43.9%4.7%Muse Spark Open
LMArena Text: hard promptsNot measured1426Only Mistral Medium 3.1 measured
LMArena Text: expertNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: hard prompts in EnglishNot measured1435Only Mistral Medium 3.1 measured
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
LMArena Text: mathNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: mathematical workNot measured1412Only Mistral Medium 3.1 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
LMArena Text: scienceNot measured1444Only Mistral Medium 3.1 measured
LMArena Text: medicine and healthcareNot measured1449Only Mistral Medium 3.1 measured
LMArena Text: legal and governmentNot measured1439Only Mistral Medium 3.1 measured
LMArena Text: business and financeNot measured1418Only Mistral Medium 3.1 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
Design Arena: websites13171133Muse Spark Open
Design Arena: UI componentsNot measured1100Only Mistral Medium 3.1 measured
Design Arena: game dev12941074Muse Spark Open
Design Arena: data vizNot measured1144Only Mistral Medium 3.1 measured
Design Arena: 3DNot measured1081Only Mistral Medium 3.1 measured
Design Arena: all code categoriesNot measured1120Only Mistral Medium 3.1 measured
Design Arena: SVGNot measured993Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
LiveBench design60.3%Not measuredOnly Muse Spark Open measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
Vals Index48.6%Not measuredOnly Muse Spark Open measured
LiveBench data analysis60.2%Not measuredOnly Muse Spark Open measured
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)78.3%42.7%Muse Spark Open
DTBenchNot measured67.5%Only Mistral Medium 3.1 measured
LMCANot measured19.1%Only Mistral Medium 3.1 measured
LMArena TextNot measured1424Only Mistral Medium 3.1 measured
LMArena Text: instruction followingNot measured1398Only Mistral Medium 3.1 measured
LMArena Text: creative writingNot measured1391Only Mistral Medium 3.1 measured
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: EnglishNot measured1438Only Mistral Medium 3.1 measured
LMArena Text: non-EnglishNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: ChineseNot measured1447Only Mistral Medium 3.1 measured
LMArena Text: GermanNot measured1432Only Mistral Medium 3.1 measured
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: FrenchNot measured1460Only Mistral Medium 3.1 measured
LMArena Text: SpanishNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: RussianNot measured1411Only Mistral Medium 3.1 measured
LMArena Text: PolishNot measured1430Only Mistral Medium 3.1 measured
LMArena Text: multi-turnNot measured1418Only Mistral Medium 3.1 measured
LMArena Text: longer queriesNot measured1406Only Mistral Medium 3.1 measured
LMArena Text: writing and languageNot measured1395Only Mistral Medium 3.1 measured
LMArena Text: entertainment and mediaNot measured1390Only Mistral Medium 3.1 measured
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark Open and Mistral Medium 3.1
BenchmarkMuse Spark OpenMistral Medium 3.1Leader
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 Open$0.0034Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Muse Spark Open$0.075Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark Open$0.292Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 Mistral Medium 3.1
SpecificationMeta Muse Spark OpenMistral Medium 3.1
MakerMetaMistral AI
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026August 13, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.40
Output $/Mtok$4.25$2.00
Coding index47.4Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark Open better than Mistral Medium 3.1 for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 2.1x cheaper ($2.00 vs $4.25 per million).

Which is cheaper, Muse Spark Open or Mistral Medium 3.1?

Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark Open or Mistral Medium 3.1?

Muse Spark Open, with 1.05M tokens against 131K.

How many benchmarks is the Muse Spark Open vs Mistral Medium 3.1 comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Muse Spark Open's coding index rests on 4 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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