Intern-Decision-4B
Intern-Decision-4B by Intern Large Models is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 38.2 on the Jev Decision Index (rank 90).
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- Intern Large Models
- Parameters
- 5B
- Released
- Sep 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Decoder LM with a decision readout
- Backbone
- Qwen/Qwen3.5-4B-Base
- Jev-compatible request
- No
- Runs on CPU
- No
- License
- apache-2.0
- Hugging Face
- internlm/Intern-Decision-4B
Benchmarks
- Jev Decision IndexECE 0.028
- 38.2
- Jev Decision Index — VisionECE 0.014
- 56.5
Jev Decision Index: public 38.0, ECE 0.028, Brier 0.474. Lower ECE means its probabilities can be taken at face value.
Speed & latency
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FAQ
How much does Intern-Decision-4B cost?
Intern-Decision-4B has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can Intern-Decision-4B answer?
Intern-Decision-4B answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is Intern-Decision-4B well calibrated?
On the Jev Decision Index its expected calibration error (ECE) is 0.028; below about 0.05, a stated 80% confidence is right roughly 80% of the time.
Is Intern-Decision-4B open weight, and can it run on a CPU?
Yes, Intern-Decision-4B has open weights. It needs a GPU to run at useful speed.
Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Jev Decision Index, Enterprise Decision Arena, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.