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Muse Spark 1.3 vs Mistral Medium 3.5

Muse Spark 1.3 leads Mistral Medium 3.5 on coding, 57.4 to 25.5 on the Vibe Coding Index, and Muse Spark 1.3 costs 1.8x less per output token ($4.25 vs $7.50 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
65
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
0
vs boards won of 65 shared

Muse Spark 1.3 or Mistral Medium 3.5: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
65
Muse Spark 1.3 only
27
Mistral Medium 3.5 only
16
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 1.3 57.4 from 4 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 38.0 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.3 82.9% against Mistral Medium 3.5 2.9%, 80.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Mistral Medium 3.5 $7.50 per million output tokens, 1.8x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Mistral Medium 3.5 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 1.3BarsMistral Medium 3.5Ties
Coding110
Intelligence20
Agentic work50
Reasoning70
Math30
Knowledge40
Web design80
General250
All shared boards650
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Muse Spark 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev16591264Muse Spark 1.3
AA Coding Index75.846.9Muse Spark 1.3
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%2.9%Muse Spark 1.3
Code migration (Vals AI)27.6%5.1%Muse Spark 1.3
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.3 measured
IOI (Vals AI)43.9%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)72.3%39.0%Muse Spark 1.3
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
SciCode59.7%40.2%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only Mistral Medium 3.5 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3764.0Muse Spark 1.3
LMArena Text: coding15101460Muse Spark 1.3
LMArena Text: software and IT15111458Muse Spark 1.3
LMArena WebDev: React16721254Muse Spark 1.3
LMArena WebDev: HTML16531308Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
AA Intelligence Index48.114.2Muse Spark 1.3
Epoch Capabilities Index157.2141.4Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Muse Spark 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
AA Agentic Index55.57.0Muse Spark 1.3
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 apps1218Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1219Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1062Not measuredOnly Muse Spark 1.3 measured
LiveBench research68.6%Not measuredOnly Muse Spark 1.3 measured
LiveBench browser80.0%Not measuredOnly Muse Spark 1.3 measured
LiveBench long agentic40.4%Not measuredOnly Muse Spark 1.3 measured
Finance Agent (Vals AI)58.9%32.1%Muse Spark 1.3
Tax Agent Bench (Vals AI)36.0%4.5%Muse Spark 1.3
Legal Research Bench (Vals AI)40.9%9.1%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)62.7%11.2%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured94.2%Only Mistral Medium 3.5 measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Muse Spark 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%74.8%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%13.8%Muse Spark 1.3
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts15031436Muse Spark 1.3
LMArena Text: expert15191432Muse Spark 1.3
LMArena Text: hard prompts in English15001445Muse Spark 1.3
LMArena Vision: diagrams13301254Muse Spark 1.3
LMArena Vision: homework12961230Muse Spark 1.3
Kagi LLM BenchmarkNot measured41.4%Only Mistral Medium 3.5 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
OTIS Mock AIME99.2%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tiers 1 to 374.4%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%9.0%Muse Spark 1.3
LMArena Text: math14971431Muse Spark 1.3
LMArena Text: mathematical work14911440Muse 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 Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
LMArena Text: science15071428Muse Spark 1.3
LMArena Text: medicine and healthcare14931409Muse Spark 1.3
LMArena Text: legal and government14991437Muse Spark 1.3
LMArena Text: business and finance14901426Muse Spark 1.3
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 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
Design Arena: websites13561142Muse Spark 1.3
Design Arena: UI components13491076Muse Spark 1.3
Design Arena: game dev13281079Muse Spark 1.3
Design Arena: data viz13431120Muse Spark 1.3
Design Arena: 3D13581060Muse Spark 1.3
Design Arena: all code categories13521121Muse Spark 1.3
Design Arena: SVG1301949Muse Spark 1.3
Design Arena: ASCII art12781062Muse Spark 1.3
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for Muse Spark 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBenchNot measured68.8%Only Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)83.0%69.3%Muse Spark 1.3
DTBench96.5%75.5%Muse Spark 1.3
LMCA53.9%26.1%Muse Spark 1.3
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14901421Muse Spark 1.3
LMArena Text: instruction following14791415Muse Spark 1.3
LMArena Text: creative writing14621374Muse Spark 1.3
LMArena Vision13081222Muse Spark 1.3
LMArena Text: English14951433Muse Spark 1.3
LMArena Text: non-English14811404Muse Spark 1.3
LMArena Text: Chinese15321444Muse Spark 1.3
LMArena Text: German15131453Muse Spark 1.3
LMArena Text: Japanese1470Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Korean14901384Muse Spark 1.3
LMArena Text: French15111448Muse Spark 1.3
LMArena Text: Spanish14961411Muse Spark 1.3
LMArena Text: Russian14911395Muse Spark 1.3
LMArena Text: Polish14901430Muse Spark 1.3
LMArena Text: multi-turn14871423Muse Spark 1.3
LMArena Text: longer queries14881415Muse Spark 1.3
LMArena Text: writing and language14701384Muse Spark 1.3
LMArena Text: entertainment and media14571382Muse Spark 1.3
LMArena Vision: English12981240Muse Spark 1.3
LMArena Vision: Chinese13841244Muse Spark 1.3
LMArena Vision: reading text13191233Muse Spark 1.3
LMArena Vision: humor12931216Muse Spark 1.3
LMArena Vision: creative writing12961198Muse Spark 1.3
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 1.3 and Mistral Medium 3.5
BenchmarkMuse Spark 1.3Mistral Medium 3.5Leader
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 Medium 3.5$0.0053Fits 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 Medium 3.5$0.098Fits 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 Medium 3.5$0.375Fits 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 Medium 3.5
SpecificationMeta Muse Spark 1.3Mistral Medium 3.5
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026April 30, 2026
Context window1.05M262K
Input $/Mtok$1.25$1.50
Output $/Mtok$4.25$7.50
Coding index57.425.5
Independent measurements behind it43
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Mistral Medium 3.5 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Muse Spark 1.3 or Mistral Medium 3.5?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Muse Spark 1.3 or Mistral Medium 3.5?

Muse Spark 1.3, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.3 vs Mistral Medium 3.5 comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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