MiMo-V2.5-Pro vs Kimi K3
Both are trillion-scale open models for long agent work. MiMo-V2.5-Pro is built to stay economical with tokens through very long coding sessions; Kimi K3 is larger, reads images and video, and leads on web research.
Choose MiMo-V2.5-Pro if
- Long coding sessions on a token budget.
- Agents that make hundreds of tool calls.
- An MIT licence.
Choose Kimi K3 if
- Research agents that browse.
- Images and video.
- Third on the Artificial Analysis index at launch.
Side by side
| MiMo-V2.5-Pro | Kimi K3 | |
|---|---|---|
| Made by | Xiaomi | Moonshot AI |
| Released | April 2026 | July 2026 |
| Input price, per 1M tokens | $0.5655 | $3.705 |
| Output price, per 1M tokens | $1.131 | $18.525 |
| Cached input, per 1M tokens | $0.0047 | $0.351 |
| Batch (about half price) | No | No |
| Context window | 1M tokens | 1.05M tokens |
| Longest answer | — | — |
| Reads | Text | Text, Images, Video |
| Thinks before answering | Not stated by the maker | Always on |
| Open weights | Yes, MIT | Yes, Kimi K3 License |
| Runs in Sri Lanka | No | No |
Prices are Roar AI’s published rates, live from our price list. Specs are each lab’s own published figures.
What a real job costs
Take 1,000 requests, each about 3,000 tokens in and 1,000 out — a long prompt and a page of answer.
MiMo-V2.5-Pro does the same job for 10× less. Models that think before answering spend extra output tokens doing it, so on hard prompts the real gap can be wider than the rates suggest.
Use both, switch any time
On Roar AI both are on the same key and the same monthly invoice. Trying the other one is a one-word change:
client.chat.completions.create(model="mimo-v2.5-pro", …) client.chat.completions.create(model="kimi-k3", …)
Send the same prompts to both for a day and compare the answers on your own work — that settles it faster than any benchmark. Read the docs.