Gemini 2.0 Flash vs Kimi K2 0905
Kimi K2 0905 leads the LLM Stats Score 21.6 to 16.5. Gemini 2.0 Flash is 6.1x cheaper per token.
Google · Moonshot AI · Updated for 2026
Which is better?
Kimi K2 0905 leads the overall LLM Stats Score 21.6 to 16.5, ranking #189 overall.
In the 3 individual benchmarks reported for both models, Kimi K2 0905 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash is roughly 6.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 2.0 Flash
- cost matters — it's about 6.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Kimi K2 0905
- overall performance matters — it scores 21.6 and ranks #189 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.0 Flash · 6 for Kimi K2 0905
Gemini 2.0 Flash outperforms in 1 benchmarks (MATH), while Kimi K2 0905 is better at 2 benchmarks (GPQA, MMLU-Pro).
Kimi K2 0905 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 6.0x cheaper than Kimi K2 0905 ($0.60/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 6.3x cheaper than Kimi K2 0905 ($2.50/1M tokens).
In conclusion, Kimi K2 0905 is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash 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 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 2.0 Flash supports multimodal inputs, whereas Kimi K2 0905 does not.
Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.0 Flash
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 was released on 2024-12-01, while Kimi K2 0905 was released on 2025-09-05.
Kimi K2 0905 is 9 months newer than Gemini 2.0 Flash.
Dec 1, 2024
1.8 years ago
Sep 5, 2025
1.0 years ago
9mo newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Kimi K2 0905's cutoff date is not specified.
We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Kimi K2 0905's cutoff date.
Aug 2024
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Provider Availability
Gemini 2.0 Flash is available from Google. Kimi K2 0905 is available from Novita.
Gemini 2.0 Flash
Kimi K2 0905
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and Kimi K2 0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs Kimi K2 0905.