Overview
Lightning 1.1 is the refreshed release of the Lightning series - refined routing, better instruction adherence, and materially higher scores on every published benchmark, at identical pricing.
It keeps what made Lightning useful: a long context window, selectable reasoning depth, and no alignment filter between your prompt and the model's full capability.
HacxGPT models are in beta: production in use, experimental, evolving. We publish the basics - benchmarks, context window, pricing, and how the models are made - and add detail as each model matures. If you need specifics we haven't published yet, ask.
Capabilities
Refusal behavior is not a sticker on top of a model; it lives in the model's weights. HacxGPT models are built by locating that behavior and reducing it in the weights, then fine-tuned for instruction-following so fewer refusals never means worse answers. The result holds across sessions instead of depending on prompt tricks.
Make the call
curl https://api.hacxgpt.com/v1/chat/completions \
-H "Authorization: Bearer $HACX_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "lightning-1.1",
"reasoning_effort": "medium",
"messages": [{"role": "user", "content": "..."}]
}'Performance
Published scores against frontier peers. Highlighted bars are ours.
Internal evaluation runs, representative of the learning-to-benchmark cycle. Independent verification is a beta goal.
Model questions
Refined routing and better instruction adherence. Every published benchmark moved up - the charts above show the deltas against the previous release.
Yes: $3 in / $5 out per 1M tokens.
Get started
One API key reaches every model on the platform.