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Muse Spark 1.3 vs Mistral Medium 3

Muse Spark 1.3 leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 48.1 to 9.0, and Mistral Medium 3 costs 2.1x less per output token ($2.00 vs $4.25 per million). Updated October 22, 2026; 48 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
48
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
vs boards won of 48 shared

Muse Spark 1.3 or Mistral Medium 3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3 for output tokens 2.1x cheaper ($2.00 vs $4.25 per million).

Shared results
48
Muse Spark 1.3 only
44
Mistral Medium 3 only
9
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 1.3 57.4 from 4 benchmarks, Mistral Medium 3 not benchmarked.
Widest category
Web design, 37.1 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Muse Spark 1.3 83.0% against Mistral Medium 3 31.3%, 51.7 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Mistral Medium 3 $2.00 per million output tokens, 2.1x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Mistral Medium 3 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 1.3BarsMistral Medium 3Ties
Coding20
Intelligence20
Reasoning70
Math20
Knowledge40
Web design60
General250
All shared boards480
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.3 and Mistral Medium 3
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%Not measuredOnly Muse Spark 1.3 measured
Code migration (Vals AI)27.6%Not measuredOnly Muse Spark 1.3 measured
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%Not measuredOnly Muse Spark 1.3 measured
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)Not measured40.0%Only Mistral Medium 3 measured
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Mistral Medium 3 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101385Muse Spark 1.3
LMArena Text: software and IT15111385Muse Spark 1.3
LMArena WebDev: React1672Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: HTML1653Not measuredOnly Muse Spark 1.3 measured
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
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
AA Intelligence Index48.19.0Muse Spark 1.3
Epoch Capabilities Index157.2134.0Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and Mistral Medium 3
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
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 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%Not measuredOnly Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)36.0%Not measuredOnly Muse Spark 1.3 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)62.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured24.3%Only Mistral Medium 3 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
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%57.8%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%4.1%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 prompts15031364Muse Spark 1.3
LMArena Text: expert15191342Muse Spark 1.3
LMArena Text: hard prompts in English15001374Muse Spark 1.3
LMArena Vision: diagrams13301155Muse Spark 1.3
LMArena Vision: homework12961165Muse Spark 1.3
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.3 and Mistral Medium 3
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
AA Math IndexNot measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 3 measured
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%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: math14971353Muse Spark 1.3
LMArena Text: mathematical work14911354Muse Spark 1.3
Neither model has a result on the other 5 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
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
MMLU Pro (Artificial Analysis run)Not measured76.0%Only Mistral Medium 3 measured
LMArena Text: science15071381Muse Spark 1.3
LMArena Text: medicine and healthcare14931381Muse Spark 1.3
LMArena Text: legal and government14991384Muse Spark 1.3
LMArena Text: business and finance14901352Muse Spark 1.3
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Spark 1.3 and Mistral Medium 3
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
Design Arena: websites13561079Muse Spark 1.3
Design Arena: UI components13491022Muse Spark 1.3
Design Arena: game dev13281017Muse Spark 1.3
Design Arena: data viz13431034Muse Spark 1.3
Design Arena: 3D13581083Muse Spark 1.3
Design Arena: all code categories13521068Muse Spark 1.3
Design Arena: SVG1301Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1278Not measuredOnly Muse Spark 1.3 measured
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
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured39.3%Only Mistral Medium 3 measured
Long context reasoning (AA-LCR)83.0%31.3%Muse Spark 1.3
DTBench96.5%62.3%Muse Spark 1.3
LMCA53.9%Not measuredOnly Muse Spark 1.3 measured
LMArena Text14901370Muse Spark 1.3
LMArena Text: instruction following14791338Muse Spark 1.3
LMArena Text: creative writing14621343Muse Spark 1.3
LMArena Vision13081157Muse Spark 1.3
LMArena Text: English14951385Muse Spark 1.3
LMArena Text: non-English14811353Muse Spark 1.3
LMArena Text: Chinese15321374Muse Spark 1.3
LMArena Text: German15131377Muse Spark 1.3
LMArena Text: Japanese14701316Muse Spark 1.3
LMArena Text: Korean14901304Muse Spark 1.3
LMArena Text: French15111368Muse Spark 1.3
LMArena Text: Spanish14961364Muse Spark 1.3
LMArena Text: Russian14911359Muse Spark 1.3
LMArena Text: Polish14901371Muse Spark 1.3
LMArena Text: multi-turn14871384Muse Spark 1.3
LMArena Text: longer queries14881360Muse Spark 1.3
LMArena Text: writing and language14701352Muse Spark 1.3
LMArena Text: entertainment and media14571335Muse Spark 1.3
LMArena Vision: English12981172Muse Spark 1.3
LMArena Vision: Chinese13841161Muse Spark 1.3
LMArena Vision: reading text13191154Muse Spark 1.3
LMArena Vision: humor12931145Muse Spark 1.3
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writing12961146Muse Spark 1.3
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 Medium 3
BenchmarkMuse Spark 1.3Mistral Medium 3Leader
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$0.0014Fits in one request

Mistral Medium 3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Mistral Medium 3$0.026Fits in one request

Mistral Medium 3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Mistral Medium 3$0.100Exceeds the context window

Mistral Medium 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
SpecificationMeta Muse Spark 1.3Mistral Medium 3
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026May 7, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.40
Output $/Mtok$4.25$2.00
Coding index57.4Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Mistral Medium 3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3 for output tokens 2.1x cheaper ($2.00 vs $4.25 per million).

Which is cheaper, Muse Spark 1.3 or Mistral Medium 3?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or Mistral Medium 3?

Muse Spark 1.3, with 1.05M tokens against 131K.

How many benchmarks is the Muse Spark 1.3 vs Mistral Medium 3 comparison based on?

48 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's on 0. Where only one model has a result, the page says so instead of naming a winner.

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