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Mistral Medium 3.1 vs o4 Mini

Updated October 21, 2026. 68 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Mistral Medium 3.1 Replace o4 Mini
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
35
o4 MiniOpenAI
Coding
No data
Overall
16.7
Output $/M
$4.40
33
vs boards won of 68 shared

Decision reading

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

Mistral Medium 3.1 has the edge where output tokens cost 2.2x less, and where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model AMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
68
Mistral Medium 3.1 only
6
o4 Mini only
26
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, o4 Mini not benchmarked.
Widest category
Math, 23.5 points apart on average over 7 shared benchmarks.
Widest single gap
AA Math Index: Mistral Medium 3.1 38.3 against o4 Mini 90.7, 52.4 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against o4 Mini $4.40 per million output tokens, 2.2x apart.
Context window
Mistral Medium 3.1 takes 131K tokens, o4 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 3.1Barso4 MiniTies
Coding23
Intelligence01
Agentic work01
Reasoning35
Math25
Knowledge47
Web design60
General1811
All shared boards3533
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
AA Coding Index20.5Not measuredOnly Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)44.8%82.2%o4 Mini
LiveCodeBench (Artificial Analysis run)40.6%85.9%o4 Mini
SciCode32.4%Not measuredOnly Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)10.6%15.2%o4 Mini
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
ALE-Bench210.2Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: coding14331368Mistral Medium 3.1
LMArena Text: software and IT14361367Mistral Medium 3.1
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
AA Intelligence Index9.216.7o4 Mini
Epoch Capabilities IndexNot measured145.5Only o4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%55.6%o4 Mini
METR time horizonsNot measured63.9%Only o4 Mini measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
MMMU Pro (Vals AI)63.0%79.7%o4 Mini
GPQA Diamond (Artificial Analysis run)58.8%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)4.7%16.5%o4 Mini
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts14261351Mistral Medium 3.1
LMArena Text: expert14081343Mistral Medium 3.1
LMArena Text: hard prompts in English14351366Mistral Medium 3.1
LMArena Vision: diagrams11751197o4 Mini
LMArena Vision: homework11651234o4 Mini
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index25
Math benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
AIME42.3%83.7%o4 Mini
MATH 500 (Vals AI)87.0%94.2%o4 Mini
MGSM (Vals AI)90.9%93.4%o4 Mini
AA Math Index38.390.7o4 Mini
AIME 2025 (Artificial Analysis run)38.3%90.7%o4 Mini
OTIS Mock AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math14081389Mistral Medium 3.1
LMArena Text: mathematical work14121379Mistral 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 index47
Knowledge benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
MMLU Pro75.3%80.6%o4 Mini
LegalBench (Vals AI)62.0%79.2%o4 Mini
CorpFin (Vals AI)50.7%59.0%o4 Mini
TaxEval (Vals AI)70.3%74.8%o4 Mini
MortgageTax (Vals AI)36.5%64.8%o4 Mini
MedQA (Vals AI)78.2%96.0%o4 Mini
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)68.3%83.2%o4 Mini
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science14441354Mistral Medium 3.1
LMArena Text: medicine and healthcare14491361Mistral Medium 3.1
LMArena Text: legal and government14391350Mistral Medium 3.1
LMArena Text: business and finance14181325Mistral Medium 3.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
Design Arena: websites1133985Mistral Medium 3.1
Design Arena: UI components1099983Mistral Medium 3.1
Design Arena: game dev10741003Mistral Medium 3.1
Design Arena: data viz1144990Mistral Medium 3.1
Design Arena: 3D1081854Mistral Medium 3.1
Design Arena: all code categories1120976Mistral Medium 3.1
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 index1811
General benchmarks for Mistral Medium 3.1 and o4 Mini
BenchmarkMistral Medium 3.1o4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBench39.8%68.7%o4 Mini
Long context reasoning (AA-LCR)42.7%61.0%o4 Mini
DTBench67.5%77.6%o4 Mini
LMCA19.1%26.5%o4 Mini
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text14241353Mistral Medium 3.1
LMArena Text: instruction following13981320Mistral Medium 3.1
LMArena Text: creative writing13911294Mistral Medium 3.1
LMArena Vision11721194o4 Mini
LMArena Text: English14381367Mistral Medium 3.1
LMArena Text: non-English14081337Mistral Medium 3.1
LMArena Text: Chinese14471354Mistral Medium 3.1
LMArena Text: German14321336Mistral Medium 3.1
LMArena Text: Japanese13791308Mistral Medium 3.1
LMArena Text: Korean13801312Mistral Medium 3.1
LMArena Text: French14601364Mistral Medium 3.1
LMArena Text: Spanish14331346Mistral Medium 3.1
LMArena Text: Russian14111334Mistral Medium 3.1
LMArena Text: Polish14301358Mistral Medium 3.1
LMArena Text: multi-turn14181350Mistral Medium 3.1
LMArena Text: longer queries14061315Mistral Medium 3.1
LMArena Text: writing and language13951316Mistral Medium 3.1
LMArena Text: entertainment and media13901308Mistral Medium 3.1
LMArena Vision: English11791200o4 Mini
LMArena Vision: Chinese11901218o4 Mini
LMArena Vision: reading text11751197o4 Mini
LMArena Vision: humor11681199o4 Mini
LMArena Vision: captioning11451204o4 Mini
LMArena Vision: recognizing things11471218o4 Mini
LMArena Vision: creative writing12001166Mistral Medium 3.1
Neither model has a result on the other 13 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 o4 Mini
BenchmarkMistral Medium 3.1o4 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
o4 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
o4 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
o4 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 o4 Mini
SpecificationMistral Medium 3.1OpenAI o4 Mini
MakerMistral AIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2025April 16, 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 o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Medium 3.1 has the edge where output tokens cost 2.2x less, and where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Mistral Medium 3.1 or o4 Mini?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; o4 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 o4 Mini?

o4 Mini, with 200K tokens against 131K.

How many benchmarks is the Mistral Medium 3.1 vs o4 Mini comparison based on?

68 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 o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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