Gemini 2.0 Flash-Lite vs Kimi K2 0905
Kimi K2 0905 significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is 8.4x cheaper per token.
Google · Moonshot AI · Updated for 2026
Which is better?
Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while Kimi K2 0905 is better at 3 benchmarks (GPQA, MATH, MMLU-Pro). Kimi K2 0905 significantly outperforms across most benchmarks.
On price, Gemini 2.0 Flash-Lite is roughly 8.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 2.0 Flash-Lite
- cost matters — it's about 8.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Kimi K2 0905
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while Kimi K2 0905 is better at 3 benchmarks (GPQA, MATH, MMLU-Pro).
Kimi K2 0905 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 8.6x cheaper than Kimi K2 0905 ($0.60/1M tokens).
For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 8.3x cheaper than Kimi K2 0905 ($2.50/1M tokens).
In conclusion, Kimi K2 0905 is more expensive than Gemini 2.0 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash-Lite accepts 1,048,576 input tokens compared to Kimi K2 0905's 262,144 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.0 Flash-Lite supports multimodal inputs, whereas Kimi K2 0905 does not.
Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.0 Flash-Lite
Kimi K2 0905
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.0 Flash-Lite was released on 2025-02-05, while Kimi K2 0905 was released on 2025-09-05.
Kimi K2 0905 is 7 months newer than Gemini 2.0 Flash-Lite.
Feb 5, 2025
1.6 years ago
Sep 5, 2025
11 months ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Kimi K2 0905'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 0905's cutoff date.
Jun 2024
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Provider Availability
Gemini 2.0 Flash-Lite is available from Google. Kimi K2 0905 is available from Novita.
Gemini 2.0 Flash-Lite
Kimi K2 0905
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash-Lite and Kimi K2 0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash-Lite vs Kimi K2 0905.