Shanghai AI Laboratory's multimodal decision model. A fine-tune of Qwen3.5-4B's language backbone (vision tower frozen) that answers up to 16 Choice, Score and Noul questions about a state and up to eight images in one forward pass, with a fitted calibration temperature.
Invergent's decision model for text and images. A fine-tune of Gemma-4-26B-A4B (about 4B parameters active per token) that answers Choice, Noul and Score questions, with an optional thinking mode for harder questions.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
intern-decision
rune
Fine-tuned from
qwen/qwen3.5-4b
google/gemma-4-26b-a4b-it
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
—
Invergent
Input price
—
—
Decision accuracy
80.6%
—
Calibration error
—
—
Valid action rate
—
—
Median latency
44 ms
—
p95 latency
44.6 ms
—
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between intern-decision and rune?
intern-decision is from InternLM (Shanghai AI Laboratory) and rune from Surogate (Invergent). intern-decision has open weights you can download and run; rune has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. rune reads up to 262K tokens of state, against 8K tokens for intern-decision. intern-decision is the smaller model, at 4.5B parameters to 26B.
Which is more accurate, intern-decision or rune?
Only intern-decision publishes an accuracy figure (80.6% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions)); rune does not, so there is no comparison to make without your own test.
Which is cheaper, intern-decision or rune?
intern-decision: Free (open weights). rune: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run intern-decision or rune locally?
Yes, both: systemone pull internlm/intern-decision and systemone pull surogate/rune download the weights.
Evaluation suite
LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions)
