Model Comparison
Mistral Medium 3.5 vs Kimi K2.6Which is better in 2026?
Kimi K2.6 significantly outperforms across most benchmarks. Kimi K2.6 is 2.1x cheaper per token.
Verdict: Mistral Medium 3.5 vs Kimi K2.6 — which is better?
Mistral Medium 3.5 (by Mistral 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.
Mistral Medium 3.5 outperforms in 0 benchmarks, while Kimi K2.6 is better at 4 benchmarks (BrowseComp, Finance Agent v2, GDPval-AA, SWE-Bench Verified). Kimi K2.6 significantly outperforms across most benchmarks.
On price, Kimi K2.6 is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2.6 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Mistral Medium 3.5 if…
- you want the most recent training data — it shipped Apr 2026
Choose Kimi K2.6 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 2.1x cheaper per token
- you process long inputs — it offers a 262,144 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Medium 3.5 outperforms in 0 benchmarks, while Kimi K2.6 is better at 4 benchmarks (BrowseComp, Finance Agent v2, GDPval-AA, SWE-Bench Verified).
Kimi K2.6 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 2.0x more expensive than Kimi K2.6 ($0.75/1M tokens).
For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 2.1x more expensive than Kimi K2.6 ($3.50/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than Kimi K2.6.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.6 has 872.0B more parameters than Mistral Medium 3.5, making it 681.3% larger.
Context Window
Maximum input and output token capacity
Kimi K2.6 accepts 262,144 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Kimi K2.6 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Mistral Medium 3.5 and Kimi K2.6 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Medium 3.5
Kimi K2.6
License
Usage and distribution terms
Both models are licensed under Modified MIT License.
Both models share the same licensing terms, providing consistent usage rights.
Modified MIT License
Open weights
Modified MIT License
Open weights
Release Timeline
When each model was launched
Mistral Medium 3.5 was released on 2026-04-29, while Kimi K2.6 was released on 2026-04-20.
Mistral Medium 3.5 is 0 month newer than Kimi K2.6.
Apr 29, 2026
2 months ago
1w 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
Mistral Medium 3.5 is available from Mistral AI. Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
Mistral Medium 3.5
Kimi K2.6
Outputs Comparison
Key Takeaways
Mistral Medium 3.5
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Kimi K2.6
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Medium 3.5 and Kimi K2.6 side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about Mistral Medium 3.5 vs Kimi K2.6.