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Command R+ (08-2024) vs Qwen3.6 Plus

Qwen3.6 Plus costs 5.1x less per output token than Command R+ (08-2024) ($1.95 vs $10.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Command R+ (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$10.00
Qwen3.6 PlusQwen
Coding
44.1
Overall
27.0
Output $/M
$1.95
vs $10.00 vs $1.95 per 1M output tokens. Qwen3.6 Plus is 5.1x cheaper.

Command R+ (08-2024) or Qwen3.6 Plus: which to pick

Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; Command R+ (08-2024) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Command R+ (08-2024) has none yet; Qwen3.6 Plus on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI). Compare them on price and context instead.

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 R+ (08-2024) not benchmarked, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Command R+ (08-2024) $10.00 against Qwen3.6 Plus $1.95 per million output tokens, 5.1x apart.
Context window
Command R+ (08-2024) takes 128K tokens, Qwen3.6 Plus 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index15 boards measured
Coding benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
LMArena WebDevNot measured1461Only Qwen3.6 Plus measured
AA Coding IndexNot measured54.5Only Qwen3.6 Plus measured
LiveCodeBench (Vals AI)Not measured86.0%Only Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)Not measured73.4%Only Qwen3.6 Plus measured
Vibe Code Bench (Vals AI)Not measured25.6%Only Qwen3.6 Plus measured
Code migration (Vals AI)Not measured11.1%Only Qwen3.6 Plus measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Qwen3.6 Plus measured
ALE-BenchNot measured670.1Only Qwen3.6 Plus measured
LMArena Text: codingNot measured1467Only Qwen3.6 Plus measured
LMArena Text: software and ITNot measured1462Only Qwen3.6 Plus measured
LMArena WebDev: ReactNot measured1454Only Qwen3.6 Plus measured
LMArena WebDev: HTMLNot measured1463Only Qwen3.6 Plus measured
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
Neither model has a result on the other 23 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
AA Intelligence IndexNot measured27.0Only Qwen3.6 Plus measured
Epoch Capabilities IndexNot measured147.3Only Qwen3.6 Plus measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Agentic work benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
Finance Agent (Vals AI)Not measured40.9%Only Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)Not measured14.9%Only Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured32.9%Only Qwen3.6 Plus measured
τ²-Bench TelecomNot measured97.7%Only Qwen3.6 Plus measured
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 33 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Reasoning benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
GPQA DiamondNot measured87.4%Only Qwen3.6 Plus measured
MMMU Pro (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)Not measured88.2%Only Qwen3.6 Plus measured
Humanity's Last Exam (Artificial Analysis run)Not measured27.8%Only Qwen3.6 Plus measured
GPQA Diamond (Epoch AI run)Not measured88.4%Only Qwen3.6 Plus measured
Chess puzzlesNot measured14.0%Only Qwen3.6 Plus measured
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard promptsNot measured1448Only Qwen3.6 Plus measured
LMArena Text: expertNot measured1454Only Qwen3.6 Plus measured
LMArena Text: hard prompts in EnglishNot measured1455Only Qwen3.6 Plus measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Math benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIMENot measured93.3%Only Qwen3.6 Plus measured
FrontierMath, tiers 1 to 3Not measured38.2%Only Qwen3.6 Plus measured
LMArena Text: mathNot measured1449Only Qwen3.6 Plus measured
LMArena Text: mathematical workNot measured1448Only Qwen3.6 Plus measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
Knowledge benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
MMLU ProNot measured87.7%Only Qwen3.6 Plus measured
LegalBench (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
CaseLaw (Vals AI)Not measured51.5%Only Qwen3.6 Plus measured
CorpFin (Vals AI)Not measured61.9%Only Qwen3.6 Plus measured
TaxEval (Vals AI)Not measured74.7%Only Qwen3.6 Plus measured
MortgageTax (Vals AI)Not measured68.0%Only Qwen3.6 Plus measured
MedCode (Vals AI)Not measured36.9%Only Qwen3.6 Plus measured
SimpleQA VerifiedNot measured44.1%Only Qwen3.6 Plus measured
LMArena Text: scienceNot measured1439Only Qwen3.6 Plus measured
LMArena Text: medicine and healthcareNot measured1442Only Qwen3.6 Plus measured
LMArena Text: legal and governmentNot measured1437Only Qwen3.6 Plus measured
LMArena Text: business and financeNot measured1430Only Qwen3.6 Plus measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
Design Arena: websitesNot measured1243Only Qwen3.6 Plus measured
Design Arena: UI componentsNot measured1233Only Qwen3.6 Plus measured
Design Arena: game devNot measured1211Only Qwen3.6 Plus measured
Design Arena: data vizNot measured1228Only Qwen3.6 Plus measured
Design Arena: 3DNot measured1202Only Qwen3.6 Plus measured
Design Arena: all code categoriesNot measured1236Only Qwen3.6 Plus measured
Design Arena: SVGNot measured1161Only Qwen3.6 Plus measured
Design Arena: ASCII artNot measured1113Only Qwen3.6 Plus measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards measured
General benchmarks for Command R+ (08-2024) and Qwen3.6 Plus
BenchmarkCommand R+ (08-2024)Qwen3.6 PlusLeader
SAGE (Vals AI)Not measured44.9%Only Qwen3.6 Plus measured
MedScribe (Vals AI)Not measured77.0%Only Qwen3.6 Plus measured
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBenchNot measured75.2%Only Qwen3.6 Plus measured
Long context reasoning (AA-LCR)Not measured78.3%Only Qwen3.6 Plus measured
DTBenchNot measured81.9%Only Qwen3.6 Plus measured
LMCANot measured33.1%Only Qwen3.6 Plus measured
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena TextNot measured1436Only Qwen3.6 Plus measured
LMArena Text: instruction followingNot measured1424Only Qwen3.6 Plus measured
LMArena Text: creative writingNot measured1404Only Qwen3.6 Plus measured
LMArena Text: EnglishNot measured1445Only Qwen3.6 Plus measured
LMArena Text: non-EnglishNot measured1424Only Qwen3.6 Plus measured
LMArena Text: ChineseNot measured1477Only Qwen3.6 Plus measured
LMArena Text: GermanNot measured1451Only Qwen3.6 Plus measured
LMArena Text: JapaneseNot measured1390Only Qwen3.6 Plus measured
LMArena Text: KoreanNot measured1379Only Qwen3.6 Plus measured
LMArena Text: FrenchNot measured1455Only Qwen3.6 Plus measured
LMArena Text: SpanishNot measured1432Only Qwen3.6 Plus measured
LMArena Text: RussianNot measured1434Only Qwen3.6 Plus measured
LMArena Text: PolishNot measured1433Only Qwen3.6 Plus measured
LMArena Text: multi-turnNot measured1438Only Qwen3.6 Plus measured
LMArena Text: longer queriesNot measured1439Only Qwen3.6 Plus measured
LMArena Text: writing and languageNot measured1418Only Qwen3.6 Plus measured
LMArena Text: entertainment and mediaNot measured1402Only Qwen3.6 Plus measured
Neither model has a result on the other 21 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 R+ (08-2024)$0.0075Fits in one request
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Command R+ (08-2024)$0.155Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Command R+ (08-2024)$0.600Exceeds the context window
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 R+ (08-2024) and Qwen3.6 Plus
SpecificationCohere Command R+ (08-2024)Qwen3.6 Plus
MakerCohereQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024April 2, 2026
Context window128K1M
Input $/Mtok$2.50$0.325
Output $/Mtok$10.00$1.95
Coding indexNot benchmarked44.1
Independent measurements behind it03
Cost per solved taskNot computable$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R+ (08-2024) better than Qwen3.6 Plus for coding?

Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; Command R+ (08-2024) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Command R+ (08-2024) or Qwen3.6 Plus?

Command R+ (08-2024) costs $2.50 per million input tokens and $10.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.

Which has the bigger context window, Command R+ (08-2024) or Qwen3.6 Plus?

Qwen3.6 Plus, with 1M tokens against 128K.

Has any benchmark tested both Command R+ (08-2024) and Qwen3.6 Plus?

No benchmark has tested both yet. Command R+ (08-2024) has none yet; Qwen3.6 Plus on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.

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