Gemini 3.5 Flash vs Kimi K2.7 Code
Gemini 3.5 Flash and Kimi K2.7 Code are closely matched at 42.6 and 39.1 on the LLM Stats Score. Kimi K2.7 Code is 2.5x cheaper per token.
Google · Moonshot AI · Updated for 2026
Which is better?
Gemini 3.5 Flash and Kimi K2.7 Code are closely matched on the overall LLM Stats Score at 42.6 and 39.1.
In the 3 individual benchmarks reported for both models, Gemini 3.5 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2.7 Code is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash also accepts a larger context window (1,000,000 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 3.5 Flash
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
Choose Kimi K2.7 Code
- cost matters — it's about 2.5x cheaper per token
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Gemini 3.5 Flash · 9 for Kimi K2.7 Code
Gemini 3.5 Flash outperforms in 3 benchmarks (DeepSWE 1.1, LiveBench, MCP Atlas), while Kimi K2.7 Code is better at 0 benchmarks.
Gemini 3.5 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash ($1.50/1M tokens) is 2.2x more expensive than Kimi K2.7 Code ($0.68/1M tokens).
For output processing, Gemini 3.5 Flash ($9.00/1M tokens) is 2.6x more expensive than Kimi K2.7 Code ($3.40/1M tokens).
In conclusion, Gemini 3.5 Flash is more expensive than Kimi K2.7 Code.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash accepts 1,000,000 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Gemini 3.5 Flash can generate longer responses up to 1,000,000 tokens, while Kimi K2.7 Code is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.5 Flash and Kimi K2.7 Code support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash
Kimi K2.7 Code
License
Usage and distribution terms
Gemini 3.5 Flash is licensed under a proprietary license, while Kimi K2.7 Code uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash was released on 2026-05-19, while Kimi K2.7 Code was released on 2026-06-12.
Kimi K2.7 Code is 1 month newer than Gemini 3.5 Flash.
May 19, 2026
3 months ago
Jun 12, 2026
2 months ago
3w newerKnowledge Cutoff
When training data ends
Gemini 3.5 Flash has a documented knowledge cutoff of 2026-01-31, while Kimi K2.7 Code's cutoff date is not specified.
We can confirm Gemini 3.5 Flash's training data extends to 2026-01-31, but cannot make a direct comparison without Kimi K2.7 Code's cutoff date.
Jan 2026
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Provider Availability
Gemini 3.5 Flash is available from DeepInfra, Google. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
Gemini 3.5 Flash
Kimi K2.7 Code
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash and Kimi K2.7 Code side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.5 Flash vs Kimi K2.7 Code.