Gemini 3.5 Flash-Lite vs Kimi K2.7 Code: price, context and capabilities

Choose Gemini 3.5 Flash-Lite for very long inputs, images as input and the latest release. Choose Kimi K2.7 Code for the hardest reasoning tasks and reasoning over long documents.

In short

  • A price comparison is not possible: one of them has no comparable published price.
  • Gemini 3.5 Flash-Lite reads more per request: 1.05M tokens against 256k.
  • Gemini 3.5 Flash-Lite is the newer model (July 2026, against Jun 12, 2026).
  • Only Gemini 3.5 Flash-Lite offers vision, reasoning, structured output, prompt caching, batch api.

Open in the full comparison table

Which should you choose?

Each answer below comes straight from the published prices, specifications and independent benchmark results.

Very long inputs

Choose Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite reads up to 1.05M tokens per request, against 256k for Kimi K2.7 Code.

Hardest reasoning tasks

Choose Kimi K2.7 Code

Kimi K2.7 Code scores 25.8 on the Artificial Analysis Intelligence Index, against 22.2 for Gemini 3.5 Flash-Lite.

Reasoning over long documents

Choose Kimi K2.7 Code

Kimi K2.7 Code scores 79.3% on Long-context reasoning (AA-LCR), against 76% for Gemini 3.5 Flash-Lite.

Images as input

Choose Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite accepts images as input; Kimi K2.7 Code does not.

Latest release

Choose Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is the newer release (July 2026, against Jun 12, 2026 for Kimi K2.7 Code).

Specifications side by side

Gemini 3.5 Flash-LiteKimi K2.7 Code
ProviderGoogleMoonshot AI
CategoryLanguage modelsLanguage models
StatusGenerally availableGenerally available
Headline price$0.85 / 1M tokensNo data
Input$0.30 / 1M tokensNo data
Output$2.50 / 1M tokensNo data
Cached input$0.03 / 1M tokensNo data
Context window1.05M256k
Max output66kNo data
ReleasedJuly 2026Jun 12, 2026
Knowledge cutoffNo dataNo data
LicenceProprietaryProprietary
CapabilitiesVision, Reasoning, Tool calling, Structured output, Prompt caching, Batch APITool calling
API model idgemini-3.5-flash-litekimi-k2.7-code

Benchmarks side by side

Leader in bold.

BenchmarkGemini 3.5 Flash-LiteKimi K2.7 Code
Intelligence Index 22.2 25.8
SciCode 41.3% 47.8%
GPQA Diamond 83.8% 89.6%
Humanity's Last Exam 18.8% 35%
Long-context reasoning (AA-LCR) 76% 79.3%
MMMU-Pro (visual reasoning) 79% No data
Terminal-Bench Hard No data 44.7%
IFBench (instruction following) No data 63.1%
τ²-Bench (agentic tool use) No data 90.1%

Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.

Frequently asked questions

Should I choose Gemini 3.5 Flash-Lite or Kimi K2.7 Code?

Choose Gemini 3.5 Flash-Lite for very long inputs, images as input and the latest release. Choose Kimi K2.7 Code for the hardest reasoning tasks and reasoning over long documents.

Which is cheaper, Gemini 3.5 Flash-Lite or Kimi K2.7 Code?

A price comparison is not possible: one of them has no comparable published price.

Which has the larger context window, Gemini 3.5 Flash-Lite or Kimi K2.7 Code?

Gemini 3.5 Flash-Lite reads more per request: 1.05M tokens against 256k.

What is the difference between Gemini 3.5 Flash-Lite and Kimi K2.7 Code?

Gemini 3.5 Flash-Lite is made by Google and Kimi K2.7 Code by Moonshot AI. A price comparison is not possible: one of them has no comparable published price. Gemini 3.5 Flash-Lite reads more per request: 1.05M tokens against 256k. Gemini 3.5 Flash-Lite is the newer model (July 2026, against Jun 12, 2026). Only Gemini 3.5 Flash-Lite offers vision, reasoning, structured output, prompt caching, batch api.

Which is newer, Gemini 3.5 Flash-Lite or Kimi K2.7 Code?

Gemini 3.5 Flash-Lite was released on July 2026 and Kimi K2.7 Code on Jun 12, 2026.