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Command A+ vs Qwen3.5 397B A17B

Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Command A+Cohere
Coding
No data
Overall
No data
Output $/M
$1.50
Qwen3.5 397B A17BQwen
Coding
No data
Overall
21.4
Output $/M
$2.34
vs $1.50 vs $2.34 per 1M output tokens. Command A+ is 1.6x cheaper.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Command A+ has the edge where output tokens cost 1.6x less.

No benchmark has tested both yet. Command A+ has none yet; Qwen3.5 397B A17B on LMArena WebDev, SciCode and Terminal-Bench Hard (Artificial Analysis run). 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 A+ not benchmarked, Qwen3.5 397B A17B not benchmarked.
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 A+ $1.50 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.6x apart.
Context window
Command A+ takes 192K tokens, Qwen3.5 397B A17B 262K.

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 Index8 boards measured
Coding benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
LMArena WebDevNot measured1400Only Qwen3.5 397B A17B measured
SciCodeNot measured44.8%Only Qwen3.5 397B A17B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured40.9%Only Qwen3.5 397B A17B measured
ALE-BenchNot measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: codingNot measured1464Only Qwen3.5 397B A17B measured
LMArena Text: software and ITNot measured1463Only Qwen3.5 397B A17B measured
LMArena WebDev: ReactNot measured1388Only Qwen3.5 397B A17B measured
LMArena WebDev: HTMLNot measured1410Only Qwen3.5 397B A17B measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
AA Intelligence IndexNot measured21.4Only Qwen3.5 397B A17B measured
Epoch Capabilities IndexNot measured146.8Only Qwen3.5 397B A17B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
τ²-Bench TelecomNot measured95.6%Only Qwen3.5 397B A17B measured
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Reasoning benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
GPQA Diamond (Artificial Analysis run)Not measured89.3%Only Qwen3.5 397B A17B measured
Humanity's Last Exam (Artificial Analysis run)Not measured29.0%Only Qwen3.5 397B A17B measured
GPQA Diamond (Epoch AI run)Not measured86.4%Only Qwen3.5 397B A17B measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard promptsNot measured1448Only Qwen3.5 397B A17B measured
LMArena Text: expertNot measured1462Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts in EnglishNot measured1450Only Qwen3.5 397B A17B measured
LMArena Vision: diagramsNot measured1277Only Qwen3.5 397B A17B measured
LMArena Vision: homeworkNot measured1292Only Qwen3.5 397B A17B measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Math benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
OTIS Mock AIMENot measured88.9%Only Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 3Not measured31.2%Only Qwen3.5 397B A17B measured
LMArena Text: mathNot measured1453Only Qwen3.5 397B A17B measured
LMArena Text: mathematical workNot measured1454Only Qwen3.5 397B A17B measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
LMArena Text: scienceNot measured1457Only Qwen3.5 397B A17B measured
LMArena Text: medicine and healthcareNot measured1455Only Qwen3.5 397B A17B measured
LMArena Text: legal and governmentNot measured1441Only Qwen3.5 397B A17B measured
LMArena Text: business and financeNot measured1435Only Qwen3.5 397B A17B measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Web design benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
Design Arena: websitesNot measured1191Only Qwen3.5 397B A17B measured
Design Arena: UI componentsNot measured1163Only Qwen3.5 397B A17B measured
Design Arena: game devNot measured1140Only Qwen3.5 397B A17B measured
Design Arena: data vizNot measured1175Only Qwen3.5 397B A17B measured
Design Arena: 3DNot measured1161Only Qwen3.5 397B A17B measured
Design Arena: all code categoriesNot measured1180Only Qwen3.5 397B A17B measured
Design Arena: SVGNot measured1140Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards measured
General benchmarks for Command A+ and Qwen3.5 397B A17B
BenchmarkCommand A+Qwen3.5 397B A17BLeader
IFBenchNot measured78.8%Only Qwen3.5 397B A17B measured
Long context reasoning (AA-LCR)Not measured77.3%Only Qwen3.5 397B A17B measured
DTBenchNot measured87.5%Only Qwen3.5 397B A17B measured
LMCANot measured37.9%Only Qwen3.5 397B A17B measured
LMArena TextNot measured1437Only Qwen3.5 397B A17B measured
LMArena Text: instruction followingNot measured1424Only Qwen3.5 397B A17B measured
LMArena Text: creative writingNot measured1402Only Qwen3.5 397B A17B measured
LMArena VisionNot measured1262Only Qwen3.5 397B A17B measured
LMArena Text: EnglishNot measured1443Only Qwen3.5 397B A17B measured
LMArena Text: non-EnglishNot measured1430Only Qwen3.5 397B A17B measured
LMArena Text: ChineseNot measured1498Only Qwen3.5 397B A17B measured
LMArena Text: GermanNot measured1445Only Qwen3.5 397B A17B measured
LMArena Text: JapaneseNot measured1429Only Qwen3.5 397B A17B measured
LMArena Text: KoreanNot measured1384Only Qwen3.5 397B A17B measured
LMArena Text: FrenchNot measured1462Only Qwen3.5 397B A17B measured
LMArena Text: SpanishNot measured1441Only Qwen3.5 397B A17B measured
LMArena Text: RussianNot measured1430Only Qwen3.5 397B A17B measured
LMArena Text: PolishNot measured1447Only Qwen3.5 397B A17B measured
LMArena Text: multi-turnNot measured1446Only Qwen3.5 397B A17B measured
LMArena Text: longer queriesNot measured1441Only Qwen3.5 397B A17B measured
LMArena Text: writing and languageNot measured1415Only Qwen3.5 397B A17B measured
LMArena Text: entertainment and mediaNot measured1399Only Qwen3.5 397B A17B measured
LMArena Vision: EnglishNot measured1268Only Qwen3.5 397B A17B measured
LMArena Vision: ChineseNot measured1314Only Qwen3.5 397B A17B measured
LMArena Vision: reading textNot measured1271Only Qwen3.5 397B A17B measured
LMArena Vision: humorNot measured1262Only Qwen3.5 397B A17B measured
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing thingsNot measured1265Only Qwen3.5 397B A17B measured
LMArena Vision: creative writingNot measured1260Only Qwen3.5 397B A17B measured
Neither model has a result on the other 17 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+$0.0010Fits in one request
Qwen3.5 397B A17B$0.0016Fits in one request

Command A+ costs less

Repository review

50K input + 3K output tokens

Command A+$0.019Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Command A+ costs less

Agent loop

200K input + 10K output tokens

Command A+$0.075Exceeds the context window
Qwen3.5 397B A17B$0.101Fits 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 Command A+ and Qwen3.5 397B A17B
SpecificationCohere Command A+Qwen3.5 397B A17B
MakerCohereQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026February 16, 2026
Context window192K262K
Input $/Mtok$0.30$0.39
Output $/Mtok$1.50$2.34
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A+ better than Qwen3.5 397B A17B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command A+ has the edge where output tokens cost 1.6x less.

Which is cheaper, Command A+ or Qwen3.5 397B A17B?

Command A+ costs $0.30 per million input tokens and $1.50 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for neither of them.

Which has the bigger context window, Command A+ or Qwen3.5 397B A17B?

Qwen3.5 397B A17B, with 262K tokens against 192K.

Has any benchmark tested both Command A+ and Qwen3.5 397B A17B?

No benchmark has tested both yet. Command A+ has none yet; Qwen3.5 397B A17B on LMArena WebDev, SciCode and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.

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