Model Comparison
Kimi K2.7 Code vs Kimi K3Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Kimi K2.7 Code is 4.2x cheaper per token.
Verdict: Kimi K2.7 Code vs Kimi K3 — which is better?
Kimi K2.7 Code (by Moonshot AI) 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.
Kimi K2.7 Code outperforms in 0 benchmarks, while Kimi K3 is better at 5 benchmarks (DeepSWE 1.1, Kimi Code Bench v2, MCP Atlas, MLS-Bench Lite, Program Bench). Kimi K3 significantly outperforms across most benchmarks.
On price, Kimi K2.7 Code is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2.7 Code if…
- cost matters — it's about 4.2x cheaper per token
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.7 Code outperforms in 0 benchmarks, while Kimi K3 is better at 5 benchmarks (DeepSWE 1.1, Kimi Code Bench v2, MCP Atlas, MLS-Bench Lite, Program Bench).
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 4.1x cheaper than Kimi K3 ($3.00/1M tokens).
For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 4.3x cheaper than Kimi K3 ($15.00/1M tokens).
In conclusion, Kimi K3 is more expensive than Kimi K2.7 Code.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 1800.0B more parameters than Kimi K2.7 Code, making it 180.0% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Kimi K2.7 Code is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K2.7 Code and Kimi K3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.7 Code
Kimi K3
License
Usage and distribution terms
Kimi K2.7 Code is licensed under Modified MIT License, while Kimi K3 uses Kimi K3 License.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Kimi K3 License
Open weights
Release Timeline
When each model was launched
Kimi K2.7 Code was released on 2026-06-12, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 1 month newer than Kimi K2.7 Code.
Jun 12, 2026
1 months ago
Jul 16, 2026
1 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Kimi K3 is available from Fireworks, Moonshot AI, Novita, Together.
Kimi K2.7 Code
Kimi K3
Outputs Comparison
Key Takeaways
Kimi K2.7 Code
View detailsMoonshot AI
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.7 Code and Kimi K3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.7 Code vs Kimi K3.