Your agents, served 11x faster.

Same models.
A fraction of the wait.

Open-weight models, served for agent loops.
Currently in private beta.

what we do

We serve open-weight LLMs faster than anyone else.

Any model on our stack runs ~11x faster than anywhere else it is served.

superfast inference

Agent speed

prior context new this turn output tokens superfast (same token types)

coding agent · median turn*

swe-bench pro

opus 5 · no cache reuse

~4.9s

79.2

opus 5 · cache reuse

~1.2s

79.2

superfast***

~0.2s

61.7

computer use · median step**

osworld

opus 5 · no cache reuse

~15.1s

70.6

opus 5 · cache reuse

~8.3s

70.6

superfast***

~1.0s

84.3

0481216 s

*18.4K prior context + 300 new + 63 output tokens. without cache reuse, prior context is re-processed every turn.
**33.9K prior context + 2K new (one screenshot) + 449 output tokens. without cache reuse, prior context is re-processed every step.
opus 5 rows modelled at its measured api output speed.
***running Qwen3.8-27B on our own stack.

contact: erik@superfastinference.com · linkedin.com/in/erik-fornlund