AI model comparison

Command A Plus vs Kimi K2.7 Code

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Command A Plus from Cohere lists 128K context, 64K maximum output, $2.50 input per 1M tokens, $10.00 output per 1M tokens. Kimi K2.7 Code from Moonshot AI lists 262.14K context, 262.14K maximum output, $0.95 input per 1M tokens, $4.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Cohere

Command A Plus

Command A Plus from Cohere: Cohere's stronger command model for multilingual agents and enterprise workflows.

Context
128K
Max output
64K
Input / 1M tokens
$2.50
Output / 1M tokens
$10.00

Accepts

  • Text input
  • Image input

Produces

  • Text output
VS

Moonshot AI

Kimi K2.7 Code

Kimi K2.7 Code from Moonshot AI: Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking.

Context
262.14K
Max output
262.14K
Input / 1M tokens
$0.95
Output / 1M tokens
$4.00

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Kimi K2.7 Code

  • Context capacity: 262.14K
  • Maximum output: 262.14K
  • Input price: $0.95
  • Output price: $4.00

Context capacity

Higher listed limit

Command A Plus:128K

Kimi K2.7 Code:262.14K

Kimi K2.7 Code

Maximum output

Higher listed limit

Command A Plus:64K

Kimi K2.7 Code:262.14K

Kimi K2.7 Code

Input price

Lower listed token rate

Command A Plus:$2.50

Kimi K2.7 Code:$0.95

Kimi K2.7 Code

Output price

Lower listed token rate

Command A Plus:$10.00

Kimi K2.7 Code:$4.00

Kimi K2.7 Code

Specifications

Pricing, limits and capabilities

Specifications for Command A Plus and Kimi K2.7 Code. Higher limits and lower prices describe these figures only.
SpecificationCommand A PlusKimi K2.7 Code
ProviderCohereMoonshot AI
Listed pricing routeCohereMoonshot AI
Model familycommand-akimi-k2
Accepted inputstext, imagetext, image, video
Produced outputstexttext
Context window128K262.14KHigher
Max output64K262.14KHigher
Input price / 1M$2.50$0.95Lower
Output price / 1M$10.00$4.00Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseOpen weightsOpen weights

Workload guidance

Which model should you choose?

Consider Kimi K2.7 Code if you need larger context or larger maximum output or a lower listed input rate or a lower listed output rate. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison