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Mistral Large vs Inkling Small

Inkling Small leads Mistral Large on the Artificial Analysis Intelligence Index, 25.7 to 5.8, and Inkling Small costs 5.0x less per output token ($1.20 vs $6.00 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Mistral LargeMistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
0
T Inkling SmallThinking Machines
Coding
27.3
Overall
43.6
Output $/M
$1.20
36
vs boards won of 36 shared

Mistral Large or Inkling Small: which to pick

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; Mistral Large has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
36
Mistral Large only
8
Inkling Small only
48
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, Inkling Small 27.3 from 4 benchmarks.
Widest category
Coding, 35.6 points apart on average over 3 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Mistral Large 35.1% against Inkling Small 89.5%, 54.4 points apart on a 0 to 100 scale.
Output price
Mistral Large $6.00 against Inkling Small $1.20 per million output tokens, 5.0x apart.
Context window
Mistral Large takes 128K tokens, Inkling Small 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 LargeBarsInkling SmallTies
Coding03
Intelligence02
Reasoning06
Math02
Knowledge06
General017
All shared boards036
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
LMArena WebDevNot measured1409Only Inkling Small measured
AA Coding IndexNot measured52.9Only Inkling Small measured
LiveCodeBench (Vals AI)37.1%85.9%Inkling Small
SWE-bench Verified (Vals AI)Not measured82.2%Only Inkling Small measured
Terminal-Bench 4 (Vals AI)Not measured0.0%Only Inkling Small measured
Vibe Code Bench (Vals AI)Not measured19.1%Only Inkling Small measured
Code migration (Vals AI)Not measured13.7%Only Inkling Small measured
ProgramBench (Vals AI)Not measured0.5%Only Inkling Small measured
IOI (Vals AI)Not measured9.3%Only Inkling Small measured
Terminal-Bench 2.1 (Vals AI)Not measured55.1%Only Inkling Small measured
SkillsBench (Vals AI)Not measured33.6%Only Inkling Small measured
CyberBench (Vals AI)Not measured64.1%Only Inkling Small measured
LiveCodeBench (Artificial Analysis run)17.8%Not measuredOnly Mistral Large measured
SciCodeNot measured49.7%Only Inkling Small measured
LMArena Text: coding12751450Inkling Small
LMArena Text: software and IT12741447Inkling Small
LMArena WebDev: ReactNot measured1399Only Inkling Small measured
LMArena WebDev: HTMLNot measured1398Only Inkling Small measured
LMArena WebDev: from an imageNot measured1410Only Inkling Small measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
AA Intelligence Index5.825.7Inkling Small
Epoch Capabilities Index122.1150.3Inkling Small
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
AA Agentic IndexNot measured23.5Only Inkling Small measured
Finance Agent (Vals AI)Not measured41.3%Only Inkling Small measured
Tax Agent Bench (Vals AI)Not measured15.4%Only Inkling Small measured
Legal Research Bench (Vals AI)Not measured25.5%Only Inkling Small measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured2.9%Only Inkling Small measured
Excel Modeling Benchmark (Vals AI)Not measured31.8%Only Inkling Small measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
GPQA Diamond47.7%83.6%Inkling Small
GPQA Diamond (Artificial Analysis run)35.1%89.5%Inkling Small
Humanity's Last Exam (Artificial Analysis run)3.5%33.3%Inkling Small
GPQA Diamond (Epoch AI run)Not measured88.5%Only Inkling Small measured
ARC-AGINot measured84.0%Only Inkling Small measured
ARC-AGI-2Not measured40.1%Only Inkling Small measured
Mystery game puzzlesNot measured6.0%Only Inkling Small measured
LMArena Text: hard prompts12571423Inkling Small
LMArena Text: expert12081441Inkling Small
LMArena Text: hard prompts in English12681429Inkling Small
LMArena Vision: diagramsNot measured1251Only Inkling Small measured
LMArena Vision: homeworkNot measured1257Only Inkling Small measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
AIME9.2%Not measuredOnly Mistral Large measured
MATH 500 (Vals AI)74.4%Not measuredOnly Mistral Large measured
MGSM (Vals AI)87.2%Not measuredOnly Mistral Large measured
OTIS Mock AIMENot measured90.0%Only Inkling Small measured
FrontierMath, tiers 1 to 3Not measured46.3%Only Inkling Small measured
FrontierMath, tier 4Not measured17.1%Only Inkling Small measured
ProofBenchNot measured6.0%Only Inkling Small measured
LMArena Text: math12611459Inkling Small
LMArena Text: mathematical work12571441Inkling Small
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
MMLU Pro69.7%85.6%Inkling Small
LegalBench (Vals AI)Not measured83.0%Only Inkling Small measured
CorpFin (Vals AI)Not measured69.6%Only Inkling Small measured
TaxEval (Vals AI)63.8%75.5%Inkling Small
MortgageTax (Vals AI)Not measured62.3%Only Inkling Small measured
MedQA (Vals AI)76.2%Not measuredOnly Mistral Large measured
MedCode (Vals AI)Not measured37.9%Only Inkling Small measured
MMLU Pro (Artificial Analysis run)51.5%Not measuredOnly Mistral Large measured
SimpleQA VerifiedNot measured19.1%Only Inkling Small measured
MMLU68.8%Not measuredOnly Mistral Large measured
LMArena Text: science12601428Inkling Small
LMArena Text: medicine and healthcare12551413Inkling Small
LMArena Text: legal and government12751415Inkling Small
LMArena Text: business and finance12381413Inkling Small
Neither model has a result on the other 4 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
Vals IndexNot measured27.6%Only Inkling Small measured
Public Benefits Bench (Vals AI)Not measured59.4%Only Inkling Small measured
SAGE (Vals AI)Not measured32.7%Only Inkling Small measured
MedScribe (Vals AI)Not measured84.1%Only Inkling Small measured
Vals Multimodal IndexNot measured50.0%Only Inkling Small measured
Long context reasoning (AA-LCR)Not measured75.7%Only Inkling Small measured
DTBench60.8%Not measuredOnly Mistral Large measured
LMArena Text12651413Inkling Small
LMArena Text: instruction following12491399Inkling Small
LMArena Text: creative writing12421334Inkling Small
LMArena VisionNot measured1237Only Inkling Small measured
LMArena Text: English12841421Inkling Small
LMArena Text: non-English12351401Inkling Small
LMArena Text: Chinese12391464Inkling Small
LMArena Text: German12421408Inkling Small
LMArena Text: Japanese11701401Inkling Small
LMArena Text: Korean12021367Inkling Small
LMArena Text: French13251435Inkling Small
LMArena Text: Spanish12681422Inkling Small
LMArena Text: Russian12521394Inkling Small
LMArena Text: Polish11571428Inkling Small
LMArena Text: multi-turn12601416Inkling Small
LMArena Text: longer queries12611402Inkling Small
LMArena Text: writing and language12611357Inkling Small
LMArena Text: entertainment and media12301352Inkling Small
LMArena Vision: EnglishNot measured1243Only Inkling Small measured
LMArena Vision: ChineseNot measured1292Only Inkling Small measured
LMArena Vision: reading textNot measured1243Only Inkling Small measured
LMArena Vision: humorNot measured1207Only Inkling Small measured
LMArena Vision: creative writingNot measured1205Only Inkling Small measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Large and Inkling Small
BenchmarkMistral LargeInkling SmallLeader
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
Inkling Small$0.0010Fits in one request

Inkling Small costs less

Repository review

50K input + 3K output tokens

Mistral Large$0.118Fits in one request
Inkling Small$0.026Fits in one request

Inkling Small costs less

Agent loop

200K input + 10K output tokens

Mistral Large$0.460Exceeds the context window
Inkling Small$0.102Fits in one request

Inkling Small 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 Inkling Small
SpecificationMistral LargeThinking Machines Inkling Small
MakerMistral AIThinking Machines
WeightsNo public weights listedOpen weights
ReleasedFebruary 26, 2024July 30, 2026
Context window128K524K
Input $/Mtok$2.00$0.45
Output $/Mtok$6.00$1.20
Coding indexNot benchmarked27.3
Independent measurements behind it04
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Large better than Inkling Small for coding?

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; Mistral Large has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Mistral Large or Inkling Small?

Mistral Large costs $2.00 per million input tokens and $6.00 per million output tokens; Inkling Small costs $0.45 and $1.20. Cost per solved task is known for Inkling Small only.

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

Inkling Small, with 524K tokens against 128K.

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

36 benchmarks have a result for both models as of October 21, 2026. Mistral Large's coding index rests on 0 independent benchmarks and Inkling Small's on 4. Where only one model has a result, the page says so instead of naming a winner.

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