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Gemini 2.0 Flash-Lite vs Kimi K2.8 Preview

Comparing Gemini 2.0 Flash-Lite and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 2.0 Flash-Lite and Kimi K2.8 Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash-Lite

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose Kimi K2.8 Preview

  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.07 / M
— / M
Output price
$0.30 / M
— / M
Context window
1,048,576
1,048,576

Individual benchmarks

13 reported for Gemini 2.0 Flash-Lite · 0 for Kimi K2.8 Preview

No common benchmarks found

Gemini 2.0 Flash-Lite and Kimi K2.8 Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Wed Sep 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash-Lite and Kimi K2.8 Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 19 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

Kimi K2.8 Preview

Sep 11, 2026

4 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Kimi K2.8 Preview's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without Kimi K2.8 Preview's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Kimi K2.8 Preview

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. Kimi K2.8 Preview is available from Moonshot AI.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

Kimi K2.8 Preview

moonshot logo
Unknown Organization
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Kimi K2.8 Preview.

Which is better, Gemini 2.0 Flash-Lite or Kimi K2.8 Preview?

Gemini 2.0 Flash-Lite (Google) and Kimi K2.8 Preview (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash-Lite compare to Kimi K2.8 Preview in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%.

What are the context window sizes for Gemini 2.0 Flash-Lite and Kimi K2.8 Preview?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Kimi K2.8 Preview supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Gemini 2.0 Flash-Lite and Kimi K2.8 Preview?

Gemini 2.0 Flash-Lite is developed by Google and Kimi K2.8 Preview is developed by Moonshot AI.