SSyncDev

AI model comparison

Gemini 3.5 Flash Lite vs Kimi K2.7 Code

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

Gemini 3.5 Flash Lite from Google lists 1.05M context, 65.54K maximum output, $0.30 input per 1M tokens, $2.50 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

Google

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite from Google: Fast Gemini model balancing multimodal reasoning, tool use, and cost.

Context
1.05M
Max output
65.54K
Input / 1M tokens
$0.30
Output / 1M tokens
$2.50

Accepts

  • Text input
  • Image input
  • Video input
  • Audio input
  • PDF 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.

Gemini 3.5 Flash Lite

  • Context capacity: 1.05M
  • Input price: $0.30
  • Output price: $2.50

Kimi K2.7 Code

  • Maximum output: 262.14K

Context capacity

Higher listed limit

Gemini 3.5 Flash Lite:1.05M

Kimi K2.7 Code:262.14K

Gemini 3.5 Flash Lite

Maximum output

Higher listed limit

Gemini 3.5 Flash Lite:65.54K

Kimi K2.7 Code:262.14K

Kimi K2.7 Code

Input price

Lower listed token rate

Gemini 3.5 Flash Lite:$0.30

Kimi K2.7 Code:$0.95

Gemini 3.5 Flash Lite

Output price

Lower listed token rate

Gemini 3.5 Flash Lite:$2.50

Kimi K2.7 Code:$4.00

Gemini 3.5 Flash Lite

Specifications

Pricing, limits and capabilities

Specifications for Gemini 3.5 Flash Lite and Kimi K2.7 Code. Higher limits and lower prices describe these figures only.
SpecificationGemini 3.5 Flash LiteKimi K2.7 Code
ProviderGoogleMoonshot AI
Listed pricing routeGoogleMoonshot AI
Model familygemini-flash-litekimi-k2
Accepted inputstext, image, video, audio, pdftext, image, video
Produced outputstexttext
Context window1.05MHigher262.14K
Max output65.54K262.14KHigher
Input price / 1M$0.30Lower$0.95
Output price / 1M$2.50Lower$4.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryOpen weights

Workload guidance

Which model should you choose?

Consider Gemini 3.5 Flash Lite 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; Gemini 3.5 Flash Lite 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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