Model Comparison
Kimi K3 vs Kimi K2.6Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Kimi K2.6 is 4.2x cheaper per token.
Verdict: Kimi K3 vs Kimi K2.6 — which is better?
Kimi K3 (by Moonshot AI) and Kimi K2.6 (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 K3 outperforms in 12 benchmarks (APEX-Agents, BabyVision, BrowseComp, CharXiv-R, DeepSearchQA, FrontierSWE, GDPval-AA, GPQA, Humanity's Last Exam, MathVision, MMMU-Pro, Toolathlon), while Kimi K2.6 is better at 0 benchmarks. Kimi K3 significantly outperforms across most benchmarks.
On price, Kimi K2.6 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 K3 if…
- you want the strongest raw capability — it leads on 12 of 12 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
Choose Kimi K2.6 if…
- cost matters — it's about 4.2x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K3 outperforms in 12 benchmarks (APEX-Agents, BabyVision, BrowseComp, CharXiv-R, DeepSearchQA, FrontierSWE, GDPval-AA, GPQA, Humanity's Last Exam, MathVision, MMMU-Pro, Toolathlon), while Kimi K2.6 is better at 0 benchmarks.
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3 ($3.00/1M tokens) is 4.0x more expensive than Kimi K2.6 ($0.75/1M tokens).
For output processing, Kimi K3 ($15.00/1M tokens) is 4.3x more expensive than Kimi K2.6 ($3.50/1M tokens).
In conclusion, Kimi K3 is more expensive than Kimi K2.6.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 1800.0B more parameters than Kimi K2.6, making it 180.0% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Kimi K2.6's 262,144 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Kimi K2.6 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K3 and Kimi K2.6 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
Kimi K2.6
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Kimi K2.6 was released on 2026-04-20.
Kimi K3 is 3 months newer than Kimi K2.6.
Jul 16, 2026
1 days ago
2mo newerApr 20, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K3 is available from Moonshot AI. Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
Kimi K3
Kimi K2.6
Outputs Comparison
Key Takeaways
Kimi K3
View detailsMoonshot AI
Kimi K2.6
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K3 and Kimi K2.6 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3 vs Kimi K2.6.