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Command A vs Inkling

Updated October 21, 2026. 48 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
0
T InklingThinking Machines
Coding
31.5
Overall
25.0
Output $/M
$4.05
48
vs boards won of 48 shared

Decision reading

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
48
Command A only
12
Inkling only
54
Like-for-like categories
7 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
Command A not benchmarked, Inkling 31.5 from 6 benchmarks.
Widest category
Coding, 32.4 points apart on average over 7 shared benchmarks.
Widest single gap
SWE-bench Verified (Vals AI): Command A 7.8% against Inkling 77.6%, 69.8 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against Inkling $4.05 per million output tokens, 2.5x apart.
Context window
Command A takes 256K 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
CategoryCommand ABarsInklingTies
Coding07
Intelligence01
Agentic work02
Reasoning06
Math02
Knowledge09
General021
All shared boards048
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDevNot measured1414Only Inkling measured
AA Coding Index27.852.1Inkling
LiveCodeBench (Vals AI)35.1%85.5%Inkling
SWE-bench Verified (Vals AI)7.8%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)17.6%47.6%Inkling
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
LiveCodeBench (Artificial Analysis run)28.7%Not measuredOnly Command A measured
SciCode38.5%47.0%Inkling
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Command A measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdMLNot measured32.3%Only Inkling measured
ALE-BenchNot measured946.0Only Inkling measured
LMArena Text: coding13301466Inkling
LMArena Text: software and IT13361465Inkling
LMArena WebDev: ReactNot measured1404Only Inkling measured
LMArena WebDev: HTMLNot measured1399Only Inkling measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
AA Intelligence Index13.125.0Inkling
Epoch Capabilities IndexNot measured148.4Only Inkling measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
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)9.0%46.6%Inkling
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
τ²-Bench Telecom80.7%Not measuredOnly Command A measured
APEX-AgentsNot measured33.8%Only Inkling measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
GPQA Diamond48.5%87.1%Inkling
LiveBench reasoningNot measured78.3%Only Inkling measured
MMMU Pro (Vals AI)Not measured78.5%Only Inkling measured
GPQA Diamond (Artificial Analysis run)76.1%87.2%Inkling
Humanity's Last Exam (Artificial Analysis run)12.0%31.9%Inkling
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 prompts13261451Inkling
LMArena Text: expert12961466Inkling
LMArena Text: hard prompts in English13351448Inkling
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
AIME13.3%Not measuredOnly Command A measured
MATH 500 (Vals AI)76.2%Not measuredOnly Command A measured
MGSM (Vals AI)85.7%Not measuredOnly Command A measured
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A 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: math13001479Inkling
LMArena Text: mathematical work13121460Inkling
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
MMLU Pro69.2%86.3%Inkling
LegalBench (Vals AI)79.7%83.0%Inkling
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%68.6%Inkling
TaxEval (Vals AI)61.4%75.3%Inkling
MortgageTax (Vals AI)Not measured64.0%Only Inkling measured
MedQA (Vals AI)80.5%Not measuredOnly Command A measured
MedCode (Vals AI)19.7%41.2%Inkling
MMLU Pro (Artificial Analysis run)71.2%Not measuredOnly Command A measured
SimpleQA VerifiedNot measured40.3%Only Inkling measured
LMArena Text: science13391455Inkling
LMArena Text: medicine and healthcare13341447Inkling
LMArena Text: legal and government13481448Inkling
LMArena Text: business and finance13151438Inkling
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
Design Arena: websitesNot measured1224Only Inkling measured
Design Arena: UI componentsNot measured1200Only Inkling measured
Design Arena: game devNot measured1166Only Inkling measured
Design Arena: data vizNot measured1159Only Inkling measured
Design Arena: 3DNot measured1161Only Inkling measured
Design Arena: all code categoriesNot measured1206Only Inkling measured
Design Arena: SVGNot measured1110Only Inkling measured
Design Arena: ASCII artNot measured1089Only Inkling measured
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
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)Not measured36.5%Only Inkling measured
MedScribe (Vals AI)55.7%85.4%Inkling
Vals Multimodal IndexNot measured49.4%Only Inkling measured
IFBench73.9%Not measuredOnly Command A measured
Long context reasoning (AA-LCR)52.7%77.3%Inkling
DTBench61.3%87.5%Inkling
LMCA10.3%37.6%Inkling
LMArena Text13311442Inkling
LMArena Text: instruction following13091425Inkling
LMArena Text: creative writing13191390Inkling
LMArena Text: English13441442Inkling
LMArena Text: non-English13131434Inkling
LMArena Text: Chinese13271493Inkling
LMArena Text: German13421445Inkling
LMArena Text: Japanese12851429Inkling
LMArena Text: Korean12851403Inkling
LMArena Text: French13511455Inkling
LMArena Text: Spanish13471449Inkling
LMArena Text: Russian13141430Inkling
LMArena Text: Polish13241450Inkling
LMArena Text: multi-turn13381437Inkling
LMArena Text: longer queries13341435Inkling
LMArena Text: writing and language13281404Inkling
LMArena Text: entertainment and media13061394Inkling
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and Inkling
BenchmarkCommand AInklingLeader
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

Command A$0.0075Fits in one request
Inkling$0.0030Fits in one request

Inkling costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
Inkling$0.061Fits in one request

Inkling costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
Inkling$0.235Fits in one request

Inkling 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 Command A and Inkling
SpecificationCohere Command AThinking Machines Inkling
MakerCohereThinking Machines
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025July 17, 2026
Context window256K524K
Input $/Mtok$2.50$0.975
Output $/Mtok$10.00$4.05
Coding indexNot benchmarked31.5
Independent measurements behind it16
Cost per solved task$2.69$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than Inkling for coding?

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Command A or Inkling?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Command A costs $2.69 and Inkling $0.76.

Which has the bigger context window, Command A or Inkling?

Inkling, with 524K tokens against 256K.

How many benchmarks is the Command A vs Inkling comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Command A'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.

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