Enter opens the highlighted result. Esc closes.

Mistral Large 3 2512 vs Inkling

Inkling leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 25.0 to 9.3, and Mistral Large 3 2512 costs 2.7x less per output token ($1.50 vs $4.05 per million). Updated October 21, 2026; 24 benchmarks have a result for both.

Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
0
T InklingThinking Machines
Coding
31.5
Overall
46.5
Output $/M
$4.05
24
vs boards won of 24 shared

Mistral Large 3 2512 or Inkling: which to pick

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for output tokens 2.7x cheaper ($1.50 vs $4.05 per million).

Shared results
24
Mistral Large 3 2512 only
4
Inkling only
78
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 Large 3 2512 not benchmarked, Inkling 31.5 from 6 benchmarks.
Widest category
Coding, 30.3 points apart on average over 4 shared benchmarks.
Widest single gap
SWE-bench Verified (Vals AI): Mistral Large 3 2512 41.4% against Inkling 77.6%, 36.2 points apart on a 0 to 100 scale.
Output price
Mistral Large 3 2512 $1.50 against Inkling $4.05 per million output tokens, 2.7x apart.
Context window
Mistral Large 3 2512 takes 262K tokens, Inkling 524K.

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 2512BarsInklingTies
Coding04
Intelligence01
Agentic work01
Reasoning02
Knowledge05
Web design08
General03
All shared boards024
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDevNot measured1414Only Inkling measured
AA Coding Index20.152.1Inkling
LiveCodeBench (Vals AI)55.3%85.5%Inkling
SWE-bench Verified (Vals AI)41.4%77.6%Inkling
Terminal-Bench 4 (Vals AI)Not measured0.5%Only Inkling measured
Vibe Code Bench (Vals AI)Not measured19.2%Only Inkling measured
Code migration (Vals AI)Not measured11.8%Only Inkling measured
ProgramBench (Vals AI)Not measured0.0%Only Inkling measured
IOI (Vals AI)Not measured14.9%Only Inkling measured
Terminal-Bench 2.1 (Vals AI)Not measured47.6%Only Inkling measured
Vibe Code Bench 1-100 (Vals AI)Not measured7.3%Only Inkling measured
SkillsBench (Vals AI)Not measured26.1%Only Inkling measured
CyberBench (Vals AI)Not measured66.8%Only Inkling measured
SciCodeNot measured47.0%Only Inkling measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdMLNot measured32.3%Only Inkling measured
ALE-Bench264.7946.0Inkling
LMArena Text: codingNot measured1466Only Inkling measured
LMArena Text: software and ITNot measured1465Only Inkling measured
LMArena WebDev: ReactNot measured1404Only Inkling measured
LMArena WebDev: HTMLNot measured1399Only Inkling measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
AA Intelligence Index9.325.0Inkling
Epoch Capabilities IndexNot measured148.4Only Inkling measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
AA Agentic Index1.022.5Inkling
Design Arena: agents building web appsNot measured1196Only Inkling measured
LiveBench researchNot measured59.9%Only Inkling measured
LiveBench browserNot measured16.0%Only Inkling measured
LiveBench long agenticNot measured14.1%Only Inkling measured
SREBench (Vals AI)Not measured0.0%Only Inkling measured
Finance Agent (Vals AI)Not measured46.6%Only Inkling measured
Tax Agent Bench (Vals AI)Not measured15.3%Only Inkling measured
Legal Research Bench (Vals AI)Not measured28.4%Only Inkling measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured3.8%Only Inkling measured
Excel Modeling Benchmark (Vals AI)Not measured38.4%Only Inkling measured
APEX-AgentsNot measured33.8%Only Inkling measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
GPQA Diamond68.4%87.1%Inkling
LiveBench reasoningNot measured78.3%Only Inkling measured
MMMU Pro (Vals AI)66.2%78.5%Inkling
GPQA Diamond (Artificial Analysis run)Not measured87.2%Only Inkling measured
Humanity's Last Exam (Artificial Analysis run)Not measured31.9%Only Inkling measured
GPQA Diamond (Epoch AI run)Not measured88.3%Only Inkling measured
ARC-AGINot measured79.5%Only Inkling measured
ARC-AGI-2Not measured36.5%Only Inkling measured
SimpleBenchNot measured50.0%Only Inkling measured
Chess puzzlesNot measured21.0%Only Inkling measured
LMArena Text: hard promptsNot measured1451Only Inkling measured
LMArena Text: expertNot measured1466Only Inkling measured
LMArena Text: hard prompts in EnglishNot measured1448Only Inkling measured
Neither model has a result on the other 9 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
AIME42.9%Not measuredOnly Mistral Large 3 2512 measured
MGSM (Vals AI)85.4%Not measuredOnly Mistral Large 3 2512 measured
OTIS Mock AIMENot measured88.9%Only Inkling measured
FrontierMath, tiers 1 to 3Not measured33.3%Only Inkling measured
FrontierMath, tier 4Not measured4.9%Only Inkling measured
ProofBenchNot measured0.0%Only Inkling measured
LMArena Text: mathNot measured1479Only Inkling measured
LMArena Text: mathematical workNot measured1460Only Inkling measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
MMLU Pro79.8%86.3%Inkling
LegalBench (Vals AI)79.1%83.0%Inkling
CaseLaw (Vals AI)61.4%Not measuredOnly Mistral Large 3 2512 measured
CorpFin (Vals AI)61.0%68.6%Inkling
TaxEval (Vals AI)73.1%75.3%Inkling
MortgageTax (Vals AI)52.1%64.0%Inkling
MedQA (Vals AI)82.2%Not measuredOnly Mistral Large 3 2512 measured
MedCode (Vals AI)Not measured41.2%Only Inkling measured
SimpleQA VerifiedNot measured40.3%Only Inkling measured
LMArena Text: scienceNot measured1455Only Inkling measured
LMArena Text: medicine and healthcareNot measured1447Only Inkling measured
LMArena Text: legal and governmentNot measured1448Only Inkling measured
LMArena Text: business and financeNot measured1438Only Inkling measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
Design Arena: websites11621224Inkling
Design Arena: UI components11021201Inkling
Design Arena: game dev10801166Inkling
Design Arena: data viz11361159Inkling
Design Arena: 3D11001161Inkling
Design Arena: all code categories11421206Inkling
Design Arena: SVG9931110Inkling
Design Arena: ASCII art10691089Inkling
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
General benchmarks for Mistral Large 3 2512 and Inkling
BenchmarkMistral Large 3 2512InklingLeader
Vals IndexNot measured29.0%Only Inkling measured
LiveBench data analysisNot measured72.8%Only Inkling measured
Public Benefits Bench (Vals AI)Not measured58.5%Only Inkling measured
SAGE (Vals AI)24.6%36.5%Inkling
MedScribe (Vals AI)Not measured85.4%Only Inkling measured
Vals Multimodal IndexNot measured49.4%Only Inkling measured
Long context reasoning (AA-LCR)Not measured77.3%Only Inkling measured
DTBench65.1%87.5%Inkling
LMCA16.7%37.6%Inkling
LMArena TextNot measured1442Only Inkling measured
LMArena Text: instruction followingNot measured1425Only Inkling measured
LMArena Text: creative writingNot measured1390Only Inkling measured
LMArena Text: EnglishNot measured1442Only Inkling measured
LMArena Text: non-EnglishNot measured1434Only Inkling measured
LMArena Text: ChineseNot measured1493Only Inkling measured
LMArena Text: GermanNot measured1445Only Inkling measured
LMArena Text: JapaneseNot measured1429Only Inkling measured
LMArena Text: KoreanNot measured1403Only Inkling measured
LMArena Text: FrenchNot measured1455Only Inkling measured
LMArena Text: SpanishNot measured1449Only Inkling measured
LMArena Text: RussianNot measured1430Only Inkling measured
LMArena Text: PolishNot measured1450Only Inkling measured
LMArena Text: multi-turnNot measured1437Only Inkling measured
LMArena Text: longer queriesNot measured1435Only Inkling measured
LMArena Text: writing and languageNot measured1404Only Inkling measured
LMArena Text: entertainment and mediaNot measured1394Only Inkling 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 Inkling
BenchmarkMistral Large 3 2512InklingLeader
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
Inkling$0.0030Fits 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
Inkling$0.061Fits 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
Inkling$0.235Fits in one request

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 Inkling
SpecificationMistral Large 3 2512Thinking Machines Inkling
MakerMistral AIThinking Machines
WeightsNo public weights listedOpen weights
ReleasedDecember 1, 2025July 17, 2026
Context window262K524K
Input $/Mtok$0.50$0.975
Output $/Mtok$1.50$4.05
Coding indexNot benchmarked31.5
Independent measurements behind it16
Cost per solved task$0.77$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Large 3 2512 better than Inkling for coding?

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 2.7x cheaper ($1.50 vs $4.05 per million).

Which is cheaper, Mistral Large 3 2512 or Inkling?

Mistral Large 3 2512 costs $0.50 per million input tokens and $1.50 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Mistral Large 3 2512 costs $0.77 and Inkling $0.76.

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

Inkling, with 524K tokens against 262K.

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

24 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 Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.

Compare next