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Mistral Medium 3.1 vs o3 Mini

o3 Mini leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 12.5 to 9.2, and Mistral Medium 3.1 costs 2.2x less per output token ($2.00 vs $4.40 per million). Updated October 21, 2026; 49 benchmarks have a result for both.

Replace Mistral Medium 3.1 Replace o3 Mini
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
33
o3 MiniOpenAI
Coding
No data
Overall
12.5
Output $/M
$4.40
16
vs boards won of 49 shared

Mistral Medium 3.1 or o3 Mini: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 2.2x cheaper ($2.00 vs $4.40 per million) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model AMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
49
Mistral Medium 3.1 only
25
o3 Mini only
21
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
Mistral Medium 3.1 not benchmarked, o3 Mini not benchmarked.
Widest category
Coding, 15.8 points apart on average over 6 shared benchmarks.
Widest single gap
AIME: Mistral Medium 3.1 42.3% against o3 Mini 86.5%, 44.2 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against o3 Mini $4.40 per million output tokens, 2.2x apart.
Context window
Mistral Medium 3.1 takes 131K tokens, o3 Mini 200K.

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
CategoryMistral Medium 3.1Barso3 MiniTies
Coding33
Intelligence01
Agentic work10
Reasoning32
Math23
Knowledge64
General183
All shared boards3316
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
Coding benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
Aider polyglotNot measured60.4%Only o3 Mini measured
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
AA Coding Index20.5Not measuredOnly Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)44.8%71.5%o3 Mini
LiveCodeBench (Artificial Analysis run)40.6%73.4%o3 Mini
SciCode32.4%42.8%o3 Mini
Terminal-Bench Hard (Artificial Analysis run)10.6%6.8%Mistral Medium 3.1
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
ALE-Bench210.2Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: coding14331378Mistral Medium 3.1
LMArena Text: software and IT14361364Mistral Medium 3.1
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
AA Intelligence Index9.212.5o3 Mini
Epoch Capabilities IndexNot measured140.2Only o3 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%31.3%Mistral Medium 3.1
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
GPQA DiamondNot measured75.5%Only o3 Mini measured
MMMU Pro (Vals AI)63.0%Not measuredOnly Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.8%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)4.7%12.0%o3 Mini
GPQA Diamond (Epoch AI run)Not measured77.0%Only o3 Mini measured
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzlesNot measured15.0%Only o3 Mini measured
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts14261365Mistral Medium 3.1
LMArena Text: expert14081364Mistral Medium 3.1
LMArena Text: hard prompts in English14351375Mistral Medium 3.1
LMArena Vision: diagrams1175Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: homework1165Not measuredOnly Mistral Medium 3.1 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index23
Math benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
AIME42.3%86.5%o3 Mini
MATH 500 (Vals AI)87.0%91.8%o3 Mini
MGSM (Vals AI)90.9%91.3%o3 Mini
AA Math Index38.3Not measuredOnly Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)38.3%Not measuredOnly Mistral Medium 3.1 measured
OTIS Mock AIMENot measured76.9%Only o3 Mini measured
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 5Not measured96.5%Only o3 Mini measured
LMArena Text: math14081396Mistral Medium 3.1
LMArena Text: mathematical work14121399Mistral Medium 3.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
Knowledge benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
MMLU Pro75.3%78.7%o3 Mini
LegalBench (Vals AI)62.0%71.5%o3 Mini
CorpFin (Vals AI)50.7%45.3%Mistral Medium 3.1
TaxEval (Vals AI)70.3%69.4%Mistral Medium 3.1
MortgageTax (Vals AI)36.5%Not measuredOnly Mistral Medium 3.1 measured
MedQA (Vals AI)78.2%94.8%o3 Mini
MMLU Pro (Artificial Analysis run)68.3%80.2%o3 Mini
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
LMArena Text: science14441339Mistral Medium 3.1
LMArena Text: medicine and healthcare14491330Mistral Medium 3.1
LMArena Text: legal and government14391328Mistral Medium 3.1
LMArena Text: business and finance14181313Mistral Medium 3.1
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
Design Arena: websites1133Not measuredOnly Mistral Medium 3.1 measured
Design Arena: UI components1100Not measuredOnly Mistral Medium 3.1 measured
Design Arena: game dev1074Not measuredOnly Mistral Medium 3.1 measured
Design Arena: data viz1144Not measuredOnly Mistral Medium 3.1 measured
Design Arena: 3D1081Not measuredOnly Mistral Medium 3.1 measured
Design Arena: all code categories1120Not measuredOnly Mistral Medium 3.1 measured
Design Arena: SVG993Not measuredOnly Mistral Medium 3.1 measured
Design Arena: ASCII art997Not measuredOnly Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
General benchmarks for Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
IFBench39.8%67.1%o3 Mini
Long context reasoning (AA-LCR)42.7%43.0%o3 Mini
DTBench67.5%68.8%o3 Mini
LMCA19.1%19.0%Mistral Medium 3.1
Fiction.LiveBenchNot measured50.0%Only o3 Mini measured
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
LMArena Text14241337Mistral Medium 3.1
LMArena Text: instruction following13981337Mistral Medium 3.1
LMArena Text: creative writing13911286Mistral Medium 3.1
LMArena Vision1172Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: English14381351Mistral Medium 3.1
LMArena Text: non-English14081319Mistral Medium 3.1
LMArena Text: Chinese14471379Mistral Medium 3.1
LMArena Text: German14321303Mistral Medium 3.1
LMArena Text: Japanese13791286Mistral Medium 3.1
LMArena Text: Korean13801313Mistral Medium 3.1
LMArena Text: French14601334Mistral Medium 3.1
LMArena Text: Spanish14331321Mistral Medium 3.1
LMArena Text: Russian14111304Mistral Medium 3.1
LMArena Text: Polish14301294Mistral Medium 3.1
LMArena Text: multi-turn14181320Mistral Medium 3.1
LMArena Text: longer queries14061343Mistral Medium 3.1
LMArena Text: writing and language13951313Mistral Medium 3.1
LMArena Text: entertainment and media13901283Mistral Medium 3.1
LMArena Vision: English1179Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: Chinese1190Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: reading text1175Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: humor1168Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: captioning1145Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: recognizing things1147Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: creative writing1200Not measuredOnly 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 Mistral Medium 3.1 and o3 Mini
BenchmarkMistral Medium 3.1o3 MiniLeader
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

Mistral Medium 3.1$0.0014Fits in one request
o3 Mini$0.0033Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.1$0.026Fits in one request
o3 Mini$0.068Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.1$0.100Exceeds the context window
o3 Mini$0.264Exceeds 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 Mistral Medium 3.1 and o3 Mini
SpecificationMistral Medium 3.1OpenAI o3 Mini
MakerMistral AIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2025January 31, 2025
Context window131K200K
Input $/Mtok$0.40$1.10
Output $/Mtok$2.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.1 better than o3 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 2.2x cheaper ($2.00 vs $4.40 per million) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Mistral Medium 3.1 or o3 Mini?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3.1 or o3 Mini?

o3 Mini, with 200K tokens against 131K.

How many benchmarks is the Mistral Medium 3.1 vs o3 Mini comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.1's coding index rests on 0 independent benchmarks and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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