$ diff mistral-large-4 mimo-v2-6-pro
Mistral Large 4 vs MiMo-V2.6-Pro
Values come from Mistral Large 4 and MiMo-V2.6-Pro, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
Mistral AIMistral Large 4
- context
- 1M
- weights
- —
- $/M in
- $1.36
- $/M out
- $4.18
- context
- 1M
- weights
- open
- $/M in
- $0.435
- $/M out
- $0.87
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Input price
- MiMo-V2.6-Pro at $0.435/M against $1.36/M — 3.1× cheaper to feed.
- Output price
- MiMo-V2.6-Pro at $0.87/M against $4.18/M — 4.8× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Mistral Large 4 shipped 14 days after MiMo-V2.6-Pro (2026-10-06 vs 2026-09-22).
Full spec
| Attribute | Mistral Large 4 | MiMo-V2.6-Pro |
|---|---|---|
| Developer | Mistral AI | Xiaomi |
| Released | 2026-10-06 | 2026-09-22 |
| Context window | 1M | 1M tokens |
| Pricing | $1.36/M input · $4.18/M output (announcement) | no vendor list price — weights are MIT and self-hostable; routed providers reported at $0.435/M input · $0.87/M output |
| License | not recorded | MIT (open weights) |
| Availability | Mistral Studio API preview; weights promised by end of October 2026 | Hugging Face as `XiaomiMiMo/MiMo-V2.6-Pro-RL`; hosted via third-party routers |