Model Comparison
MiniMax M2.7 vs Kimi K3Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. MiniMax M2.7 is 11.4x cheaper per token.
Verdict: MiniMax M2.7 vs Kimi K3 — which is better?
MiniMax M2.7 (by MiniMax) 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.
MiniMax M2.7 outperforms in 0 benchmarks, while Kimi K3 is better at 2 benchmarks (GDPval-AA, Toolathlon). Kimi K3 significantly outperforms across most benchmarks.
On price, MiniMax M2.7 is roughly 11.4x 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 MiniMax M2.7 if…
- cost matters — it's about 11.4x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 2 of 2 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
MiniMax M2.7 outperforms in 0 benchmarks, while Kimi K3 is better at 2 benchmarks (GDPval-AA, Toolathlon).
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M2.7 ($0.30/1M tokens) is 10.0x cheaper than Kimi K3 ($3.00/1M tokens).
For output processing, MiniMax M2.7 ($1.20/1M tokens) is 12.5x cheaper than Kimi K3 ($15.00/1M tokens).
In conclusion, Kimi K3 is more expensive than MiniMax M2.7.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to MiniMax M2.7's 196,608 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while MiniMax M2.7 is limited to 196,608 tokens.
Input Capabilities
Supported data types and modalities
Kimi K3 supports multimodal inputs, whereas MiniMax M2.7 does not.
Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.7
Kimi K3
Release Timeline
When each model was launched
MiniMax M2.7 was released on 2026-03-18, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 4 months newer than MiniMax M2.7.
Mar 18, 2026
4 months ago
Jul 16, 2026
1 days ago
4mo 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 M2.7 is available from Fireworks, MiniMax, Novita. Kimi K3 is available from Moonshot AI.
MiniMax M2.7
Kimi K3
Outputs Comparison
Key Takeaways
MiniMax M2.7
View detailsMiniMax
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiniMax M2.7 and Kimi K3 side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about MiniMax M2.7 vs Kimi K3.