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.
meraGPT's hosted decision model (state-decider-1). Answers yes/no, choice and rubric-score questions over one state as calibrated distributions in a single pass, on the System One schema, so the typesafe-sdk works by changing its base URL.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
intern-decision
state-decider
Fine-tuned from
qwen/qwen3.5-4b
—
License
apache-2.0
proprietary
Availability
Open weights
Hosted API
Hosted by
—
meraGPT
Input price
—
$0.030/MTok
Decision accuracy
80.6%
76.8%
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 state-decider-1?
intern-decision is from InternLM (Shanghai AI Laboratory) and state-decider-1 from meraGPT. intern-decision has open weights you can download and run; state-decider-1 is only available as a hosted API. Both answer choice, score, noul, classify and route questions. intern-decision reads up to 8K tokens of state, against 4K tokens for state-decider-1. intern-decision is licensed apache-2.0; state-decider-1, proprietary.
Which is more accurate, intern-decision or state-decider-1?
They report on different suites — intern-decision 80.6% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), state-decider-1 76.8% on typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, intern-decision or state-decider-1?
intern-decision: Free (open weights). state-decider-1: $0.03 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run intern-decision or state-decider-1 locally?
intern-decision yes — systemone pull internlm/intern-decision downloads its weights. The other is only served as a hosted API.
Evaluation suite
LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions)
typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run
