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AI model comparison

Qwen3.7 Max vs Kimi K2.5

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

Qwen3.7 Max from Alibaba lists 1M context, 65.54K maximum output, $2.50 input per 1M tokens, $7.50 output per 1M tokens. Kimi K2.5 from Moonshot AI lists 262.14K context, 262.14K maximum output, $0.60 input per 1M tokens, $3.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Alibaba

Qwen3.7 Max

Qwen3.7 Max from Alibaba: Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks.

Context
1M
Max output
65.54K
Input / 1M tokens
$2.50
Output / 1M tokens
$7.50

Accepts

  • Text input

Produces

  • Text output
Full model profilegithub.com ↗
VS

Moonshot AI

Kimi K2.5

Kimi K2.5 from Moonshot AI: Earlier Kimi frontier model for long-context agents, coding, and multimodal work.

Context
262.14K
Max output
262.14K
Input / 1M tokens
$0.60
Output / 1M tokens
$3.00

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output
Full model profilegithub.com ↗

At a glance

Key differences

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

Qwen3.7 Max

  • Context capacity: 1M

Kimi K2.5

  • Maximum output: 262.14K
  • Input price: $0.60
  • Output price: $3.00

Context capacity

Higher listed limit

Qwen3.7 Max:1M

Kimi K2.5:262.14K

Qwen3.7 Max

Maximum output

Higher listed limit

Qwen3.7 Max:65.54K

Kimi K2.5:262.14K

Kimi K2.5

Input price

Lower listed token rate

Qwen3.7 Max:$2.50

Kimi K2.5:$0.60

Kimi K2.5

Output price

Lower listed token rate

Qwen3.7 Max:$7.50

Kimi K2.5:$3.00

Kimi K2.5

Specifications

Pricing, limits and capabilities

Specifications for Qwen3.7 Max and Kimi K2.5. Higher limits and lower prices describe these figures only.
SpecificationQwen3.7 MaxKimi K2.5
ProviderAlibabaMoonshot AI
Listed pricing routeAlibabaMoonshot AI
Model familyqwenkimi-k2
Accepted inputstexttext, image, video
Produced outputstexttext
Context window1MHigher262.14K
Max output65.54K262.14KHigher
Input price / 1M$2.50$0.60Lower
Output price / 1M$7.50$3.00Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryOpen weights

Workload guidance

Which model should you choose?

Consider Qwen3.7 Max if you need larger context. Consider Kimi K2.5 if you need larger maximum output or a lower listed input rate or a lower listed output rate. Kimi K2.5 offers downloadable weights; Qwen3.7 Max is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. 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.

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