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Muse Spark 1.2 vs Mistral Medium 3.5

Muse Spark 1.2 leads Mistral Medium 3.5 on coding, 55.7 to 25.5 on the Vibe Coding Index, and Muse Spark 1.2 costs 1.8x less per output token ($4.25 vs $7.50 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
67
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
0
vs boards won of 67 shared

Muse Spark 1.2 or Mistral Medium 3.5: which to pick

Pick Muse Spark 1.2 for coding: it scores 55.7 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
67
Muse Spark 1.2 only
30
Mistral Medium 3.5 only
14
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 1.2 55.7 from 5 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 34.7 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.2 79.1% against Mistral Medium 3.5 2.9%, 76.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against Mistral Medium 3.5 $7.50 per million output tokens, 1.8x apart.
Context window
Muse Spark 1.2 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 1.2BarsMistral Medium 3.5Ties
Coding110
Intelligence20
Agentic work50
Reasoning60
Math30
Knowledge90
Web design80
General230
All shared boards670
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
LiveBench coding78.2%Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev15341264Muse Spark 1.2
AA Coding Index72.246.9Muse Spark 1.2
SWE-bench Verified (Vals AI)86.6%66.4%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%2.9%Muse Spark 1.2
Code migration (Vals AI)29.9%5.1%Muse Spark 1.2
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.2 measured
IOI (Vals AI)21.8%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)69.7%39.0%Muse Spark 1.2
SkillsBench (Vals AI)53.0%Not measuredOnly Muse Spark 1.2 measured
CyberBench (Vals AI)69.5%Not measuredOnly Muse Spark 1.2 measured
SciCode57.4%40.2%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only Mistral Medium 3.5 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding15051460Muse Spark 1.2
LMArena Text: software and IT15051458Muse Spark 1.2
LMArena WebDev: React15261254Muse Spark 1.2
LMArena WebDev: HTML15431308Muse Spark 1.2
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
AA Intelligence Index39.614.2Muse Spark 1.2
Epoch Capabilities Index155.1141.4Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
AA Agentic Index43.27.0Muse Spark 1.2
Design Arena: agents building web apps1221Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1181Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1222Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1179Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1085Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1172Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%Not measuredOnly Muse Spark 1.2 measured
LiveBench browser36.0%Not measuredOnly Muse Spark 1.2 measured
LiveBench long agentic21.3%Not measuredOnly Muse Spark 1.2 measured
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%32.1%Muse Spark 1.2
Tax Agent Bench (Vals AI)32.8%4.5%Muse Spark 1.2
Legal Research Bench (Vals AI)43.8%9.1%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)57.0%11.2%Muse Spark 1.2
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
τ²-Bench TelecomNot measured94.2%Only Mistral Medium 3.5 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
LiveBench reasoning90.0%Not measuredOnly Muse Spark 1.2 measured
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%74.8%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)45.5%13.8%Muse Spark 1.2
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts14891436Muse Spark 1.2
LMArena Text: expert14751432Muse Spark 1.2
LMArena Text: hard prompts in English14871445Muse Spark 1.2
LMArena Vision: diagrams13171254Muse Spark 1.2
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 measured
Kagi LLM BenchmarkNot measured41.4%Only Mistral Medium 3.5 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
ProofBench43.0%9.0%Muse Spark 1.2
LMArena Text: math14841431Muse Spark 1.2
LMArena Text: mathematical work14801440Muse Spark 1.2
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
MMLU Pro88.3%75.3%Muse Spark 1.2
LegalBench (Vals AI)85.3%Not measuredOnly Muse Spark 1.2 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)70.9%58.8%Muse Spark 1.2
TaxEval (Vals AI)80.4%68.0%Muse Spark 1.2
MortgageTax (Vals AI)65.4%28.9%Muse Spark 1.2
MedCode (Vals AI)49.4%33.8%Muse Spark 1.2
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science15001428Muse Spark 1.2
LMArena Text: medicine and healthcare14961409Muse Spark 1.2
LMArena Text: legal and government15171437Muse Spark 1.2
LMArena Text: business and finance14841426Muse Spark 1.2
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 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
Design Arena: websites13121142Muse Spark 1.2
Design Arena: UI components12981076Muse Spark 1.2
Design Arena: game dev13011079Muse Spark 1.2
Design Arena: data viz13341120Muse Spark 1.2
Design Arena: 3D13011060Muse Spark 1.2
Design Arena: all code categories13121121Muse Spark 1.2
Design Arena: SVG1284949Muse Spark 1.2
Design Arena: ASCII art12841062Muse Spark 1.2
LiveBench design67.1%Not measuredOnly Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
General benchmarks for Muse Spark 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral Medium 3.5Leader
LiveBench data analysis76.5%Not measuredOnly Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
SAGE (Vals AI)47.7%37.6%Muse Spark 1.2
MedScribe (Vals AI)90.1%67.7%Muse Spark 1.2
Vals Multimodal Index69.8%34.8%Muse Spark 1.2
IFBenchNot measured68.8%Only Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)79.0%69.3%Muse Spark 1.2
DTBench94.7%75.5%Muse Spark 1.2
LMCA48.4%26.1%Muse Spark 1.2
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14821421Muse Spark 1.2
LMArena Text: instruction following14621415Muse Spark 1.2
LMArena Text: creative writing14361374Muse Spark 1.2
LMArena Vision13041222Muse Spark 1.2
LMArena Text: English14831433Muse Spark 1.2
LMArena Text: non-English14761404Muse Spark 1.2
LMArena Text: Chinese15091444Muse Spark 1.2
LMArena Text: GermanNot measured1453Only Mistral Medium 3.5 measured
LMArena Text: Korean14621384Muse Spark 1.2
LMArena Text: French14951448Muse Spark 1.2
LMArena Text: Spanish14841411Muse Spark 1.2
LMArena Text: Russian14831395Muse Spark 1.2
LMArena Text: PolishNot measured1430Only Mistral Medium 3.5 measured
LMArena Text: multi-turn15021423Muse Spark 1.2
LMArena Text: longer queries14731415Muse Spark 1.2
LMArena Text: writing and language14531384Muse Spark 1.2
LMArena Text: entertainment and media14431382Muse Spark 1.2
LMArena Vision: English12911240Muse Spark 1.2
LMArena Vision: ChineseNot measured1244Only Mistral Medium 3.5 measured
LMArena Vision: reading text13131233Muse Spark 1.2
LMArena Vision: humorNot measured1216Only Mistral Medium 3.5 measured
LMArena Vision: creative writingNot measured1198Only Mistral Medium 3.5 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 1.2 and Mistral Medium 3.5
BenchmarkMuse Spark 1.2Mistral 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 1.2$0.0034Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
Mistral Medium 3.5$0.375Fits in one request

Muse Spark 1.2 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 1.2 and Mistral Medium 3.5
SpecificationMeta Muse Spark 1.2Mistral Medium 3.5
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2026April 30, 2026
Context window1.05M262K
Input $/Mtok$1.25$1.50
Output $/Mtok$4.25$7.50
Coding index55.725.5
Independent measurements behind it53
Cost per solved task$0.64$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than Mistral Medium 3.5 for coding?

Pick Muse Spark 1.2 for coding: it scores 55.7 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 1.2 or Mistral Medium 3.5?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Muse Spark 1.2 or Mistral Medium 3.5?

Muse Spark 1.2, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.2 vs Mistral Medium 3.5 comparison based on?

67 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.2's coding index rests on 5 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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