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Claude Sonnet 4.6 vs Command R (08-2024)

Command R (08-2024) costs 25.0x less per output token than Claude Sonnet 4.6 ($0.60 vs $15.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
25
Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 25 shared

Claude Sonnet 4.6 or Command R (08-2024): which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding.

Pick Command R (08-2024) for output tokens 25.0x cheaper ($0.60 vs $15.00 per million).

Shared results
25
Claude Sonnet 4.6 only
93
Command R (08-2024) only
0
Like-for-like categories
5 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
Claude Sonnet 4.6 57.3 from 5 benchmarks, Command R (08-2024) not benchmarked.
Widest category
Reasoning, 51.4 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Claude Sonnet 4.6 1500 against Command R (08-2024) 1173, 54.4 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Command R (08-2024) $0.60 per million output tokens, 25.0x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, Command R (08-2024) 128K.

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 R (08-2024)Ties
Coding20
Reasoning30
Math20
Knowledge40
General140
All shared boards250
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
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%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%Not measuredOnly Claude Sonnet 4.6 measured
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: coding15031187Claude Sonnet 4.6
LMArena Text: software and IT14911197Claude 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 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
AA Intelligence Index30.1Not measuredOnly Claude Sonnet 4.6 measured
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
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 apps1196Not 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%Not measuredOnly Claude Sonnet 4.6 measured
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%Not measuredOnly Claude Sonnet 4.6 measured
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 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
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%Not measuredOnly Claude Sonnet 4.6 measured
Humanity's Last Exam (Artificial Analysis run)33.6%Not measuredOnly Claude Sonnet 4.6 measured
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 prompts14851186Claude Sonnet 4.6
LMArena Text: expert15001173Claude Sonnet 4.6
LMArena Text: hard prompts in English14931194Claude 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 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621188Claude Sonnet 4.6
LMArena Text: mathematical work14831198Claude Sonnet 4.6
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741252Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511238Claude Sonnet 4.6
LMArena Text: legal and government14701268Claude Sonnet 4.6
LMArena Text: business and finance14641215Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 5 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 R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
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 index140
General benchmarks for Claude Sonnet 4.6 and Command R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
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
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%Not measuredOnly Claude Sonnet 4.6 measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly Claude Sonnet 4.6 measured
DTBench89.9%Not measuredOnly Claude Sonnet 4.6 measured
LMCA46.5%Not measuredOnly Claude Sonnet 4.6 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581229Claude Sonnet 4.6
LMArena Text: instruction following14761197Claude Sonnet 4.6
LMArena Text: creative writing14351234Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721238Claude Sonnet 4.6
LMArena Text: non-English14401216Claude Sonnet 4.6
LMArena Text: Chinese14911227Claude Sonnet 4.6
LMArena Text: German14281216Claude Sonnet 4.6
LMArena Text: Japanese14201166Claude Sonnet 4.6
LMArena Text: Korean14101162Claude Sonnet 4.6
LMArena Text: French1465Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Spanish1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Russian14401227Claude Sonnet 4.6
LMArena Text: Polish1443Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: multi-turn14641213Claude Sonnet 4.6
LMArena Text: longer queries14791230Claude Sonnet 4.6
LMArena Text: writing and language14441241Claude Sonnet 4.6
LMArena Text: entertainment and media14311223Claude 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 12 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 R (08-2024)
BenchmarkClaude Sonnet 4.6Command R (08-2024)Leader
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 R (08-2024)$0.0004Fits in one request

Command R (08-2024) costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Command R (08-2024)$0.0093Fits in one request

Command R (08-2024) costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
Command R (08-2024)$0.036Exceeds the context window

Command R (08-2024) 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 R (08-2024)
SpecificationAnthropic Claude Sonnet 4.6Cohere Command R (08-2024)
MakerAnthropicCohere
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026August 30, 2024
Context window1M128K
Input $/Mtok$3.00$0.15
Output $/Mtok$15.00$0.60
Coding index57.3Not benchmarked
Independent measurements behind it50
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Command R (08-2024) for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 25.0x cheaper ($0.60 vs $15.00 per million).

Which is cheaper, Claude Sonnet 4.6 or Command R (08-2024)?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Command R (08-2024) costs $0.15 and $0.60. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or Command R (08-2024)?

Claude Sonnet 4.6, with 1M tokens against 128K.

How many benchmarks is the Claude Sonnet 4.6 vs Command R (08-2024) comparison based on?

25 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 R (08-2024)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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