Model Comparison

Gemini 2.0 Flash-Lite vs Kimi K3Which is better in 2026?

Kimi K3 significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is 47.1x cheaper per token.

Verdict: Gemini 2.0 Flash-Lite vs Kimi K3 — which is better?

Gemini 2.0 Flash-Lite (by Google) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while Kimi K3 is better at 1 benchmark (GPQA). Kimi K3 significantly outperforms across most benchmarks.

On price, Gemini 2.0 Flash-Lite is roughly 47.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Gemini 2.0 Flash-Lite if…

  • cost matters — it's about 47.1x cheaper per token

Choose Kimi K3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while Kimi K3 is better at 1 benchmark (GPQA).

Kimi K3 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 42.9x cheaper than Kimi K3 ($3.00/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 50.0x cheaper than Kimi K3 ($15.00/1M tokens).

In conclusion, Kimi K3 is more expensive than Gemini 2.0 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Moonshot AI
Kimi K3
Input tokens$3.00
Output tokens$15.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Kimi K3 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 K3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Kimi K3 was released on 2026-07-16.

Kimi K3 is 18 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.4 years ago

Kimi K3

Jul 16, 2026

2 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Kimi K3'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 K3's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Kimi K3

—

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. Kimi K3 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 K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Moonshot AI
Has open weights
Higher GPQA score (93.5% vs 51.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Kimi K3 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Kimi K3
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Moonshot AI
Kimi K3

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Kimi K3.

Which is better, Gemini 2.0 Flash-Lite or Kimi K3?

Kimi K3 significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is made by Google and Kimi K3 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash-Lite compare to Kimi K3 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%. Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

Is Gemini 2.0 Flash-Lite cheaper than Kimi K3?

Gemini 2.0 Flash-Lite is 42.9x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google. Kimi K3 costs $3.00/M input and $15.00/M output via moonshot.

What are the context window sizes for Gemini 2.0 Flash-Lite and Kimi K3?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Kimi K3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash-Lite and Kimi K3?

Key differences include input pricing ($0.07 vs $3.00/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and Kimi K3?

Gemini 2.0 Flash-Lite is developed by Google and Kimi K3 is developed by Moonshot AI.

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