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Mistral Large 3 2512 vs o1

Updated October 21, 2026. 13 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Mistral Large 3 2512 Replace o1
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
9.3
Output $/M
$1.50
1
o1OpenAI
Coding
No data
Overall
15.2
Output $/M
$60.00
12
vs boards won of 13 shared

Decision reading

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

Mistral Large 3 2512 has the edge where output tokens cost 40.0x less, and where the context window is larger, 262K against 200K tokens.

Model AMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved taskModel Bo1OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
13
Mistral Large 3 2512 only
15
o1 only
55
Like-for-like categories
6 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 Large 3 2512 not benchmarked, o1 not benchmarked.
Widest category
Math, 16.2 points apart on average over 2 shared benchmarks.
Widest single gap
AIME: Mistral Large 3 2512 42.9% against o1 71.5%, 28.5 points apart on a 0 to 100 scale.
Output price
Mistral Large 3 2512 $1.50 against o1 $60.00 per million output tokens, 40.0x apart.
Context window
Mistral Large 3 2512 takes 262K tokens, o1 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 Large 3 2512Barso1Ties
Coding11
Intelligence01
Reasoning02
Math02
Knowledge04
General02
All shared boards112
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
Aider polyglotNot measured61.7%Only o1 measured
AA Coding Index20.139.7o1
LiveCodeBench (Vals AI)55.3%50.3%Mistral Large 3 2512
SWE-bench Verified (Vals AI)41.4%Not measuredOnly Mistral Large 3 2512 measured
LiveCodeBench (Artificial Analysis run)Not measured67.9%Only o1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured12.9%Only o1 measured
WeirdMLNot measured46.1%Only o1 measured
ALE-Bench264.7Not measuredOnly Mistral Large 3 2512 measured
LMArena Text: codingNot measured1367Only o1 measured
LMArena Text: software and ITNot measured1366Only o1 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
AA Intelligence Index9.315.2o1
Epoch Capabilities IndexNot measured141.7Only o1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
AA Agentic Index1.0Not measuredOnly Mistral Large 3 2512 measured
τ²-Bench TelecomNot measured62.6%Only o1 measured
METR time horizonsNot measured51.1%Only o1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
GPQA Diamond68.4%73.2%o1
MMMU Pro (Vals AI)66.2%77.4%o1
GPQA Diamond (Artificial Analysis run)Not measured74.7%Only o1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.0%Only o1 measured
GPQA Diamond (Epoch AI run)Not measured76.8%Only o1 measured
ARC-AGINot measured30.7%Only o1 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzlesNot measured10.0%Only o1 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard promptsNot measured1371Only o1 measured
LMArena Text: expertNot measured1361Only o1 measured
LMArena Text: hard prompts in EnglishNot measured1372Only o1 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
AIME42.9%71.5%o1
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)85.4%89.3%o1
OTIS Mock AIMENot measured73.3%Only o1 measured
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: mathNot measured1388Only o1 measured
LMArena Text: mathematical workNot measured1390Only o1 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
MMLU Pro79.8%83.5%o1
LegalBench (Vals AI)79.1%80.4%o1
CaseLaw (Vals AI)61.4%Not measuredOnly Mistral Large 3 2512 measured
CorpFin (Vals AI)61.0%Not measuredOnly Mistral Large 3 2512 measured
TaxEval (Vals AI)73.1%74.3%o1
MortgageTax (Vals AI)52.1%Not measuredOnly Mistral Large 3 2512 measured
MedQA (Vals AI)82.2%96.5%o1
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: scienceNot measured1369Only o1 measured
LMArena Text: medicine and healthcareNot measured1355Only o1 measured
LMArena Text: legal and governmentNot measured1368Only o1 measured
LMArena Text: business and financeNot measured1328Only o1 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
Design Arena: websites1162Not measuredOnly Mistral Large 3 2512 measured
Design Arena: UI components1102Not measuredOnly Mistral Large 3 2512 measured
Design Arena: game dev1080Not measuredOnly Mistral Large 3 2512 measured
Design Arena: data viz1136Not measuredOnly Mistral Large 3 2512 measured
Design Arena: 3D1099Not measuredOnly Mistral Large 3 2512 measured
Design Arena: all code categories1142Not measuredOnly Mistral Large 3 2512 measured
Design Arena: SVG993Not measuredOnly Mistral Large 3 2512 measured
Design Arena: ASCII art1069Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
SAGE (Vals AI)24.6%Not measuredOnly Mistral Large 3 2512 measured
IFBenchNot measured70.3%Only o1 measured
Long context reasoning (AA-LCR)Not measured65.0%Only o1 measured
DTBench65.1%74.7%o1
LMCA16.7%22.3%o1
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena TextNot measured1366Only o1 measured
LMArena Text: instruction followingNot measured1367Only o1 measured
LMArena Text: creative writingNot measured1347Only o1 measured
LMArena VisionNot measured1168Only o1 measured
LMArena Text: EnglishNot measured1372Only o1 measured
LMArena Text: non-EnglishNot measured1358Only o1 measured
LMArena Text: ChineseNot measured1394Only o1 measured
LMArena Text: GermanNot measured1337Only o1 measured
LMArena Text: JapaneseNot measured1346Only o1 measured
LMArena Text: KoreanNot measured1396Only o1 measured
LMArena Text: FrenchNot measured1344Only o1 measured
LMArena Text: SpanishNot measured1345Only o1 measured
LMArena Text: RussianNot measured1356Only o1 measured
LMArena Text: multi-turnNot measured1355Only o1 measured
LMArena Text: longer queriesNot measured1378Only o1 measured
LMArena Text: writing and languageNot measured1360Only o1 measured
LMArena Text: entertainment and mediaNot measured1358Only o1 measured
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Large 3 2512 and o1
BenchmarkMistral Large 3 2512o1Leader
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 3 2512$0.0013Fits in one request
o1$0.045Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

Mistral Large 3 2512$0.029Fits in one request
o1$0.930Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

Mistral Large 3 2512$0.115Fits in one request
o1$3.60Exceeds the context window

Mistral Large 3 2512 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 3 2512 and o1
SpecificationMistral Large 3 2512OpenAI o1
MakerMistral AIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 1, 2025December 17, 2024
Context window262K200K
Input $/Mtok$0.50$15.00
Output $/Mtok$1.50$60.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.77Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Large 3 2512 better than o1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Large 3 2512 has the edge where output tokens cost 40.0x less, and where the context window is larger, 262K against 200K tokens.

Which is cheaper, Mistral Large 3 2512 or o1?

Mistral Large 3 2512 costs $0.50 per million input tokens and $1.50 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Mistral Large 3 2512 only.

Which has the bigger context window, Mistral Large 3 2512 or o1?

Mistral Large 3 2512, with 262K tokens against 200K.

How many benchmarks is the Mistral Large 3 2512 vs o1 comparison based on?

13 benchmarks have a result for both models as of October 21, 2026. Mistral Large 3 2512's coding index rests on 1 independent benchmark and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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