SSyncDev

AI model comparison

Qwen Flash vs Kimi K2.7 Code

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

Qwen Flash from Alibaba lists 1M context, 32.77K maximum output, $0.05 input per 1M tokens, $0.40 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

Alibaba

Qwen Flash

Qwen Flash from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.

Context
1M
Max output
32.77K
Input / 1M tokens
$0.05
Output / 1M tokens
$0.40

Accepts

  • Text input

Produces

  • Text output
Full model profilegithub.com ↗
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
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.

Qwen Flash

  • Context capacity: 1M
  • Input price: $0.05
  • Output price: $0.40

Kimi K2.7 Code

  • Maximum output: 262.14K

Context capacity

Higher listed limit

Qwen Flash:1M

Kimi K2.7 Code:262.14K

Qwen Flash

Maximum output

Higher listed limit

Qwen Flash:32.77K

Kimi K2.7 Code:262.14K

Kimi K2.7 Code

Input price

Lower listed token rate

Qwen Flash:$0.05

Kimi K2.7 Code:$0.95

Qwen Flash

Output price

Lower listed token rate

Qwen Flash:$0.40

Kimi K2.7 Code:$4.00

Qwen Flash

Specifications

Pricing, limits and capabilities

Specifications for Qwen Flash and Kimi K2.7 Code. Higher limits and lower prices describe these figures only.
SpecificationQwen FlashKimi K2.7 Code
ProviderAlibabaMoonshot AI
Listed pricing routeAlibabaMoonshot AI
Model familyqwenkimi-k2
Accepted inputstexttext, image, video
Produced outputstexttext
Context window1MHigher262.14K
Max output32.77K262.14KHigher
Input price / 1M$0.05Lower$0.95
Output price / 1M$0.40Lower$4.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryOpen weights

Workload guidance

Which model should you choose?

Consider Qwen Flash if you need larger context or a lower listed input rate or a lower listed output rate. Consider Kimi K2.7 Code if you need larger maximum output. Kimi K2.7 Code offers downloadable weights; Qwen Flash 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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