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Mistral Large vs o3 Mini

o3 Mini leads Mistral Large on the Artificial Analysis Intelligence Index, 12.5 to 5.8, and o3 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 o3 Mini
Mistral LargeMistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
0
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
43
vs boards won of 43 shared

Mistral Large or o3 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 Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
Mistral Large only
1
o3 Mini only
28
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, o3 Mini not benchmarked.
Widest category
Coding, 30.5 points apart on average over 4 shared benchmarks.
Widest single gap
AIME: Mistral Large 9.2% against o3 Mini 86.5%, 77.3 points apart on a 0 to 100 scale.
Output price
Mistral Large $6.00 against o3 Mini $4.40 per million output tokens, 1.4x apart.
Context window
Mistral Large takes 128K 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 LargeBarso3 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 o3 Mini
BenchmarkMistral Largeo3 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
LiveCodeBench (Vals AI)37.1%71.5%o3 Mini
LiveCodeBench (Artificial Analysis run)17.8%73.4%o3 Mini
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.8%Only o3 Mini measured
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding12751378o3 Mini
LMArena Text: software and IT12741364o3 Mini
SciCodeNot measured7.7%Only o3 Mini measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
AA Intelligence Index5.812.5o3 Mini
Epoch Capabilities Index122.1140.2o3 Mini
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
τ²-Bench TelecomNot measured31.3%Only o3 Mini measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
GPQA Diamond47.7%75.5%o3 Mini
GPQA Diamond (Artificial Analysis run)35.1%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)3.5%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 prompts12571365o3 Mini
LMArena Text: expert12081364o3 Mini
LMArena Text: hard prompts in English12681375o3 Mini
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
AIME9.2%86.5%o3 Mini
MATH 500 (Vals AI)74.4%91.8%o3 Mini
MGSM (Vals AI)87.2%91.3%o3 Mini
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: math12611396o3 Mini
LMArena Text: mathematical work12571399o3 Mini
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
MMLU Pro69.7%78.7%o3 Mini
LegalBench (Vals AI)Not measured71.5%Only o3 Mini measured
CorpFin (Vals AI)Not measured45.3%Only o3 Mini measured
TaxEval (Vals AI)63.8%69.4%o3 Mini
MedQA (Vals AI)76.2%94.8%o3 Mini
MMLU Pro (Artificial Analysis run)51.5%80.2%o3 Mini
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
MMLU68.8%Not measuredOnly Mistral Large measured
LMArena Text: science12601339o3 Mini
LMArena Text: medicine and healthcare12551330o3 Mini
LMArena Text: legal and government12751328o3 Mini
LMArena Text: business and finance12381313o3 Mini
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 MiniLeader
IFBenchNot measured67.1%Only o3 Mini measured
Long context reasoning (AA-LCR)Not measured43.0%Only o3 Mini measured
DTBench60.8%68.8%o3 Mini
LMCANot measured19.0%Only o3 Mini measured
Fiction.LiveBenchNot measured50.0%Only o3 Mini measured
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
LMArena Text12651337o3 Mini
LMArena Text: instruction following12491337o3 Mini
LMArena Text: creative writing12421286o3 Mini
LMArena Text: English12841351o3 Mini
LMArena Text: non-English12351319o3 Mini
LMArena Text: Chinese12391379o3 Mini
LMArena Text: German12421303o3 Mini
LMArena Text: Japanese11701286o3 Mini
LMArena Text: Korean12021313o3 Mini
LMArena Text: French13251334o3 Mini
LMArena Text: Spanish12681321o3 Mini
LMArena Text: Russian12521304o3 Mini
LMArena Text: Polish11571294o3 Mini
LMArena Text: multi-turn12601320o3 Mini
LMArena Text: longer queries12611343o3 Mini
LMArena Text: writing and language12611313o3 Mini
LMArena Text: entertainment and media12301283o3 Mini
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Large and o3 Mini
BenchmarkMistral Largeo3 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
o3 Mini$0.0033Fits in one request

o3 Mini costs less

Repository review

50K input + 3K output tokens

Mistral Large$0.118Fits in one request
o3 Mini$0.068Fits in one request

o3 Mini costs less

Agent loop

200K input + 10K output tokens

Mistral Large$0.460Exceeds the context window
o3 Mini$0.264Exceeds the context window

o3 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 o3 Mini
SpecificationMistral LargeOpenAI o3 Mini
MakerMistral AIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 26, 2024January 31, 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 o3 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 o3 Mini?

Mistral Large costs $2.00 per million input tokens and $6.00 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 Large or o3 Mini?

o3 Mini, with 200K tokens against 128K.

How many benchmarks is the Mistral Large vs o3 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 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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