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Mistral Large vs o4 Mini

o4 Mini leads Mistral Large on the Artificial Analysis Intelligence Index, 16.7 to 5.8, and o4 Mini costs 1.4x less per output token ($4.40 vs $6.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace Mistral Large Replace o4 Mini
Mistral LargeMistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
0
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
43
vs boards won of 43 shared

Mistral Large or o4 Mini: which to pick

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

Pick Mistral Large for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model AMistral LargeMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
Mistral Large only
1
o4 Mini only
55
Like-for-like categories
6 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 Large not benchmarked, o4 Mini not benchmarked.
Widest category
Coding, 36.1 points apart on average over 4 shared benchmarks.
Widest single gap
AIME: Mistral Large 9.2% against o4 Mini 83.7%, 74.5 points apart on a 0 to 100 scale.
Output price
Mistral Large $6.00 against o4 Mini $4.40 per million output tokens, 1.4x apart.
Context window
Mistral Large takes 128K 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 LargeBarso4 MiniTies
Coding04
Intelligence02
Reasoning06
Math05
Knowledge08
General018
All shared boards043
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 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
LiveCodeBench (Vals AI)37.1%82.2%o4 Mini
LiveCodeBench (Artificial Analysis run)17.8%85.9%o4 Mini
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only o4 Mini measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
LMArena Text: coding12751368o4 Mini
LMArena Text: software and IT12741367o4 Mini
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
AA Intelligence Index5.816.7o4 Mini
Epoch Capabilities Index122.1145.5o4 Mini
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
τ²-Bench TelecomNot measured55.6%Only o4 Mini measured
METR time horizonsNot measured63.9%Only o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
GPQA Diamond47.7%74.5%o4 Mini
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)35.1%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)3.5%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 prompts12571351o4 Mini
LMArena Text: expert12081343o4 Mini
LMArena Text: hard prompts in English12681366o4 Mini
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Kagi LLM BenchmarkNot measured67.6%Only o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
AIME9.2%83.7%o4 Mini
MATH 500 (Vals AI)74.4%94.2%o4 Mini
MGSM (Vals AI)87.2%93.4%o4 Mini
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
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: math12611389o4 Mini
LMArena Text: mathematical work12571379o4 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
MMLU Pro69.7%80.6%o4 Mini
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)63.8%74.8%o4 Mini
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)76.2%96.0%o4 Mini
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)51.5%83.2%o4 Mini
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
MMLU68.8%Not measuredOnly Mistral Large measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science12601354o4 Mini
LMArena Text: medicine and healthcare12551361o4 Mini
LMArena Text: legal and government12751350o4 Mini
LMArena Text: business and finance12381325o4 Mini
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
Design Arena: websitesNot measured985Only o4 Mini measured
Design Arena: UI componentsNot measured983Only o4 Mini measured
Design Arena: game devNot measured1003Only o4 Mini measured
Design Arena: data vizNot measured991Only o4 Mini measured
Design Arena: 3DNot measured854Only o4 Mini measured
Design Arena: all code categoriesNot measured976Only o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Mistral Large and o4 Mini
BenchmarkMistral Largeo4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBenchNot measured68.7%Only o4 Mini measured
Long context reasoning (AA-LCR)Not measured61.0%Only o4 Mini measured
DTBench60.8%77.6%o4 Mini
LMCANot measured26.5%Only o4 Mini measured
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text12651353o4 Mini
LMArena Text: instruction following12491320o4 Mini
LMArena Text: creative writing12421294o4 Mini
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English12841367o4 Mini
LMArena Text: non-English12351337o4 Mini
LMArena Text: Chinese12391354o4 Mini
LMArena Text: German12421336o4 Mini
LMArena Text: Japanese11701308o4 Mini
LMArena Text: Korean12021312o4 Mini
LMArena Text: French13251364o4 Mini
LMArena Text: Spanish12681346o4 Mini
LMArena Text: Russian12521334o4 Mini
LMArena Text: Polish11571358o4 Mini
LMArena Text: multi-turn12601350o4 Mini
LMArena Text: longer queries12611315o4 Mini
LMArena Text: writing and language12611316o4 Mini
LMArena Text: entertainment and media12301308o4 Mini
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
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 Large and o4 Mini
BenchmarkMistral Largeo4 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 Large$0.0050Fits in one request
o4 Mini$0.0033Fits in one request

o4 Mini costs less

Repository review

50K input + 3K output tokens

Mistral Large$0.118Fits in one request
o4 Mini$0.068Fits in one request

o4 Mini costs less

Agent loop

200K input + 10K output tokens

Mistral Large$0.460Exceeds the context window
o4 Mini$0.264Exceeds the context window

o4 Mini 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 Large and o4 Mini
SpecificationMistral LargeOpenAI o4 Mini
MakerMistral AIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 26, 2024April 16, 2025
Context window128K200K
Input $/Mtok$2.00$1.10
Output $/Mtok$6.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Large better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Large for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Mistral Large or o4 Mini?

Mistral Large costs $2.00 per million input tokens and $6.00 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 Large or o4 Mini?

o4 Mini, with 200K tokens against 128K.

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

43 benchmarks have a result for both models as of October 22, 2026. Mistral Large'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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