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Gemini 3.5 Flash-Lite vs Kimi-k1.5

Gemini 3.5 Flash-Lite leads the LLM Stats Score 29.9 to 17.2.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 3.5 Flash-Lite leads the overall LLM Stats Score 29.9 to 17.2, ranking #123 overall.

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

Choose Gemini 3.5 Flash-Lite

  • overall performance matters — it scores 29.9 and ranks #123 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2026

Choose Kimi-k1.5

  • you are already invested in the Moonshot AI ecosystem

At a glance

The differences that matter most.

Gemini 3.5 Flash-Lite
Google
Kimi-k1.5
Moonshot AI
Core performance indexes
LLM Stats Score
29.9
#123
17.2
#217
Reasoning
25.9
#148
16.4
#214
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$2.50 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.5 Flash-Lite
Kimi-k1.5
Vision
19.5#73
11.0#111
Multimodal
21.9#61
14.7#92
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Gemini 3.5 Flash-Lite · 9 for Kimi-k1.5

No common benchmarks found

Gemini 3.5 Flash-Lite and Kimi-k1.5don'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

Only Gemini 3.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 3.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.5 Flash-Lite and Kimi-k1.5 support multimodal inputs.

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

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Kimi-k1.5

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 3.5 Flash-Lite

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Kimi-k1.5 was released on 2025-01-20.

Gemini 3.5 Flash-Lite is 18 months newer than Kimi-k1.5.

Gemini 3.5 Flash-Lite

Jul 21, 2026

1 months ago

1.5yr newer
Kimi-k1.5

Jan 20, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Kimi-k1.5's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

Kimi-k1.5

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Kimi-k1.5 side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Kimi-k1.5.

Which is better, Gemini 3.5 Flash-Lite or Kimi-k1.5?

Gemini 3.5 Flash-Lite leads the LLM Stats Score 29.9 to 17.2. Gemini 3.5 Flash-Lite is made by Google and Kimi-k1.5 is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.5 Flash-Lite compare to Kimi-k1.5 in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for Gemini 3.5 Flash-Lite and Kimi-k1.5?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Kimi-k1.5 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and Kimi-k1.5?

Key differences include LLM Stats Score (29.9 vs 17.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Kimi-k1.5?

Gemini 3.5 Flash-Lite is developed by Google and Kimi-k1.5 is developed by Moonshot AI.

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