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Claude Opus 4.6 vs Command R (08-2024)

Command R (08-2024) costs 41.7x less per output token than Claude Opus 4.6 ($0.60 vs $25.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
25
Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 25 shared

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

Only Claude Opus 4.6 has a coding score, 57.2 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 41.7x cheaper ($0.60 vs $25.00 per million).

Shared results
25
Claude Opus 4.6 only
85
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 Opus 4.6 57.2 from 4 benchmarks, Command R (08-2024) not benchmarked.
Widest category
Reasoning, 58.0 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Claude Opus 4.6 1544 against Command R (08-2024) 1173, 61.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Command R (08-2024) $0.60 per million output tokens, 41.7x apart.
Context window
Claude Opus 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 Opus 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 Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341187Claude Opus 4.6
LMArena Text: software and IT15271197Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 22 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
AA Intelligence Index31.9Not measuredOnly Claude Opus 4.6 measured
Epoch Capabilities Index155.7Not measuredOnly Claude Opus 4.6 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1196Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%Not measuredOnly Claude Opus 4.6 measured
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Claude Opus 4.6 measured
Humanity's Last Exam (Artificial Analysis run)39.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251186Claude Opus 4.6
LMArena Text: expert15441173Claude Opus 4.6
LMArena Text: hard prompts in English15301194Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math15181188Claude Opus 4.6
LMArena Text: mathematical work15251198Claude Opus 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191252Claude Opus 4.6
LMArena Text: medicine and healthcare15041238Claude Opus 4.6
LMArena Text: legal and government15121268Claude Opus 4.6
LMArena Text: business and finance14971215Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
Design Arena: websites1291Not measuredOnly Claude Opus 4.6 measured
Design Arena: UI components1284Not measuredOnly Claude Opus 4.6 measured
Design Arena: game dev1278Not measuredOnly Claude Opus 4.6 measured
Design Arena: data viz1279Not measuredOnly Claude Opus 4.6 measured
Design Arena: 3D1274Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1289Not measuredOnly Claude Opus 4.6 measured
Design Arena: SVG1228Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Claude Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 4.6Command R (08-2024)Leader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%Not measuredOnly Claude Opus 4.6 measured
Long context reasoning (AA-LCR)78.0%Not measuredOnly Claude Opus 4.6 measured
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011229Claude Opus 4.6
LMArena Text: instruction following15211197Claude Opus 4.6
LMArena Text: creative writing15051234Claude Opus 4.6
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English15111238Claude Opus 4.6
LMArena Text: non-English14881216Claude Opus 4.6
LMArena Text: Chinese15511227Claude Opus 4.6
LMArena Text: German15001216Claude Opus 4.6
LMArena Text: Japanese14881166Claude Opus 4.6
LMArena Text: Korean14641162Claude Opus 4.6
LMArena Text: French1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Spanish1510Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Russian14971227Claude Opus 4.6
LMArena Text: Polish1499Not measuredOnly Claude Opus 4.6 measured
LMArena Text: multi-turn15111213Claude Opus 4.6
LMArena Text: longer queries15181230Claude Opus 4.6
LMArena Text: writing and language15021241Claude Opus 4.6
LMArena Text: entertainment and media14921223Claude Opus 4.6
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 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 Opus 4.6 and Command R (08-2024)
BenchmarkClaude Opus 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 Opus 4.6$0.018Fits 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 Opus 4.6$0.325Fits 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 Opus 4.6$1.25Fits 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 Opus 4.6 and Command R (08-2024)
SpecificationAnthropic Claude Opus 4.6Cohere Command R (08-2024)
MakerAnthropicCohere
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026August 30, 2024
Context window1M128K
Input $/Mtok$5.00$0.15
Output $/Mtok$25.00$0.60
Coding index57.2Not benchmarked
Independent measurements behind it40
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Claude Opus 4.6 has a coding score, 57.2 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 41.7x cheaper ($0.60 vs $25.00 per million).

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

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Command R (08-2024) costs $0.15 and $0.60. Cost per solved task is known for Claude Opus 4.6 only.

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

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

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

25 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6's coding index rests on 4 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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