Model tracker / Decision models / Stanford and NVIDIA
CLM-8B
CLM-8B is an open-weight decision model from Stanford and NVIDIA (Apache 2.0, 8B parameters): it answers typed questions, such as yes or no, pick one or pick several, with probabilities instead of writing text. There's no hosted version: you run it on your own hardware. It scores 20.1 (self-hosted; seconds are the board's estimate) on the independent JevBench Capability Score (board v1.7.46), where Jev, the reference, scores 77.1.
- Made by
- Stanford and NVIDIA
- Weights
- Open, Apache 2.0
- Size
- 8B
- Where
- Self-host only
- Images
- No, text only
- Context
- 2,048
- Fine-tuning
- Tools provided
CLM-8B price
US dollars per million input tokens. Decision models don't write text, so none of the hosted ones charge for output.
| Where | Input | Output | Notes | Checked |
|---|---|---|---|---|
| Self-host only | Self-host | – | – | 2026-10-14 |
CLM-8B benchmarks
| Benchmark | Result | What it measures | Reported by |
|---|---|---|---|
| JevBench v1.7.46 | 20.1 | Capability Score: accuracy and calibration on typed decisions, with Jev as the reference system | Independent |
| JevBench time | 0.19 s | Seconds per decision: measured end to end for hosted APIs, the board's estimate for self-hosted models | Independent |
| Reported speed | Up to 9× faster than Jev | Latency on the maker's own hardware | Stanford and NVIDIA |
Makers' speeds are measured on their own hardware and aren't comparable with each other or with JevBench's timings.
Decision models like CLM-8B
Every other decision model we track, by independent JevBench score.
| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| CLM-8B | Self-host | 20.1 | Open |
| Jev 1.13 TypeSafe AI | $0.042 | 77.1 | Closed |
| Clef Cloudflare | $0.24 | 75.3 | Open |
| d1 Liquid AI | $0.04 | 74.4 | Closed |
| OpenAI Decisions (GPT-6 Luna) OpenAI | $0.10 | 73.5 | Closed |
| Microsoft-Decision-1 Microsoft | $0.042 | 70.8 | Closed |
| Clef-flash Cloudflare | $0.038 | 63.8 | Open |
| Clef-omni Cloudflare | $0.15 | 58.3 | Open |
| d1-3B Liquid AI | Self-host | 49.5 | Open |
| d1-omni-600M (experimental) Liquid AI | Self-host | 32.8 | Open |
| Laya Convai Innovations | Free | 32.5 | Open |
| Strands Decider 2B AWS Strands Labs | Self-host | – | Open |
Compare them all in the decision models table →
CLM-8B on dbggr
- Stop asking your LLM multiple-choice questions: a guide to decision models Article, 2026-10-02
CLM-8B FAQ
How much does CLM-8B cost?
CLM-8B has no hosted, per-token price: you download it and run it yourself, so the cost is your own compute.
Is CLM-8B open weight?
Yes. Stanford and NVIDIA publishes the weights under Apache 2.0, so you can run and fine-tune it yourself.
How fast is CLM-8B?
Stanford and NVIDIA reports Up to 9× faster than Jev, measured on its own hardware. JevBench gives 0.19 seconds per decision, its estimate for self-hosting.
How does CLM-8B compare with Jev?
On JevBench's Capability Score (board v1.7.46), CLM-8B scores 20.1 against Jev's 77.1. Jev costs $0.042 per million input tokens; CLM-8B is self-host only. JevBench is a one-person project that uses Jev as its reference, which favours cheap hosted models.