Model Comparison
MiniMax M3 vs Kimi K2.7 CodeWhich is better in 2026?
Kimi K2.7 Code significantly outperforms across most benchmarks. MiniMax M3 is 2.7x cheaper per token.
Verdict: MiniMax M3 vs Kimi K2.7 Code — which is better?
MiniMax M3 (by MiniMax) and Kimi K2.7 Code (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.
MiniMax M3 outperforms in 0 benchmarks, while Kimi K2.7 Code is better at 2 benchmarks (LiveBench, MCP Atlas). Kimi K2.7 Code significantly outperforms across most benchmarks.
On price, MiniMax M3 is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M3 also accepts a larger context window (512,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiniMax M3 if…
- cost matters — it's about 2.7x cheaper per token
- you process long inputs — it offers a 512,000 token context window
Choose Kimi K2.7 Code if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Jun 2026
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M3 outperforms in 0 benchmarks, while Kimi K2.7 Code is better at 2 benchmarks (LiveBench, MCP Atlas).
Kimi K2.7 Code significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M3 ($0.30/1M tokens) is 2.5x cheaper than Kimi K2.7 Code ($0.74/1M tokens).
For output processing, MiniMax M3 ($1.20/1M tokens) is 2.9x cheaper than Kimi K2.7 Code ($3.50/1M tokens).
In conclusion, Kimi K2.7 Code is more expensive than MiniMax M3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiniMax M3 accepts 512,000 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Both models can generate responses up to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both MiniMax M3 and Kimi K2.7 Code support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiniMax M3
Kimi K2.7 Code
License
Usage and distribution terms
MiniMax M3 is licensed under MIT, 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.
MIT
Open weights
Modified MIT License
Open weights
Release Timeline
When each model was launched
MiniMax M3 was released on 2026-06-01, while Kimi K2.7 Code was released on 2026-06-12.
Kimi K2.7 Code is 0 month newer than MiniMax M3.
Jun 1, 2026
1 months ago
Jun 12, 2026
1 months ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M3 is available from Fireworks, Novita, Together, MiniMax. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
MiniMax M3
Kimi K2.7 Code
Outputs Comparison
Key Takeaways
MiniMax M3
View detailsMiniMax
Kimi K2.7 Code
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiniMax M3 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiniMax M3 vs Kimi K2.7 Code.