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Claude Sonnet 4.6 vs Command A

Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
30.1
Output $/M
$15.00
49
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
3
vs boards won of 52 shared

Decision reading

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.

Command A has the edge where output tokens cost 1.5x less, and where what matters is τ²-Bench Telecom or CaseLaw (Vals AI), where it leads.

Shared results
52
Claude Sonnet 4.6 only
65
Command A only
8
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
Claude Sonnet 4.6 57.3 from 5 benchmarks, Command A not benchmarked.
Widest category
Math, 44.8 points apart on average over 3 shared benchmarks.
Widest single gap
AIME: Claude Sonnet 4.6 92.3% against Command A 13.3%, 79.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Command A $10.00 per million output tokens, 1.5x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, Command A 256K.

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
CategoryClaude Sonnet 4.6BarsCommand ATies
Coding80
Intelligence10
Agentic work21
Reasoning60
Math30
Knowledge91
General201
All shared boards493
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.027.8Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%35.1%Claude Sonnet 4.6
SWE-bench Verified (Vals AI)77.4%7.8%Claude Sonnet 4.6
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%17.6%Claude Sonnet 4.6
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured28.7%Only Command A measured
SciCode50.1%38.5%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%25.0%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031330Claude Sonnet 4.6
LMArena Text: software and IT14911336Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
AA Intelligence Index30.113.1Claude Sonnet 4.6
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
Agentic work benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
AA Agentic Index31.81.0Claude Sonnet 4.6
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1203Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%9.0%Claude Sonnet 4.6
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%80.7%Command A
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
GPQA Diamond85.6%48.5%Claude Sonnet 4.6
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%76.1%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%12.0%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851326Claude Sonnet 4.6
LMArena Text: expert15001296Claude Sonnet 4.6
LMArena Text: hard prompts in English14931335Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
AIME92.3%13.3%Claude Sonnet 4.6
MATH 500 (Vals AI)Not measured76.2%Only Command A measured
MGSM (Vals AI)Not measured85.7%Only Command A measured
AA Math IndexNot measured13.0Only Command A measured
AIME 2025 (Artificial Analysis run)Not measured13.0%Only Command A measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621300Claude Sonnet 4.6
LMArena Text: mathematical work14831312Claude Sonnet 4.6
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
MMLU Pro87.3%69.2%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%79.7%Claude Sonnet 4.6
CaseLaw (Vals AI)64.0%64.5%Command A
CorpFin (Vals AI)65.3%46.0%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%61.4%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%80.5%Claude Sonnet 4.6
MedCode (Vals AI)Not measured19.7%Only Command A measured
MMLU Pro (Artificial Analysis run)Not measured71.2%Only Command A measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741339Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511334Claude Sonnet 4.6
LMArena Text: legal and government14701348Claude Sonnet 4.6
LMArena Text: business and finance14641315Claude Sonnet 4.6
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 Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
Design Arena: websites1285Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: UI components1272Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: game dev1259Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: data viz1277Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: 3D1234Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: all code categories1276Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: SVG1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index201
General benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
MedScribe (Vals AI)Not measured55.7%Only Command A measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%73.9%Command A
Long context reasoning (AA-LCR)80.0%52.7%Claude Sonnet 4.6
DTBench89.9%61.3%Claude Sonnet 4.6
LMCA46.5%10.3%Claude Sonnet 4.6
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581331Claude Sonnet 4.6
LMArena Text: instruction following14761309Claude Sonnet 4.6
LMArena Text: creative writing14351319Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721344Claude Sonnet 4.6
LMArena Text: non-English14401313Claude Sonnet 4.6
LMArena Text: Chinese14911327Claude Sonnet 4.6
LMArena Text: German14281342Claude Sonnet 4.6
LMArena Text: Japanese14201285Claude Sonnet 4.6
LMArena Text: Korean14101285Claude Sonnet 4.6
LMArena Text: French14651351Claude Sonnet 4.6
LMArena Text: Spanish14641347Claude Sonnet 4.6
LMArena Text: Russian14401314Claude Sonnet 4.6
LMArena Text: Polish14431324Claude Sonnet 4.6
LMArena Text: multi-turn14641338Claude Sonnet 4.6
LMArena Text: longer queries14791334Claude Sonnet 4.6
LMArena Text: writing and language14441328Claude Sonnet 4.6
LMArena Text: entertainment and media14311306Claude Sonnet 4.6
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.6 and Command A
BenchmarkClaude Sonnet 4.6Command ALeader
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

Claude Sonnet 4.6$0.011Fits in one request
Command A$0.0075Fits in one request

Command A costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Command A$0.155Fits in one request

Command A costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
Command A$0.600Fits in one request

Command A 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 Claude Sonnet 4.6 and Command A
SpecificationAnthropic Claude Sonnet 4.6Cohere Command A
MakerAnthropicCohere
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026March 13, 2025
Context window1M256K
Input $/Mtok$3.00$2.50
Output $/Mtok$15.00$10.00
Coding index57.3Not benchmarked
Independent measurements behind it51
Cost per solved task$1.68$2.69
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Command A for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Command A has the edge where output tokens cost 1.5x less, and where what matters is τ²-Bench Telecom or CaseLaw (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 4.6 or Command A?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Command A costs $2.50 and $10.00. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and Command A $2.69.

Which has the bigger context window, Claude Sonnet 4.6 or Command A?

Claude Sonnet 4.6, with 1M tokens against 256K.

How many benchmarks is the Claude Sonnet 4.6 vs Command A comparison based on?

52 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and Command A's on 1. Where only one model has a result, the page says so instead of naming a winner.

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