Nemotron Deciffusion 8B v2 (pst2154)
Data: JevBench v1.6.39, published 2026-10-22
Capability 69.3 · Not ranked in the current release
unpriced: the frozen pricing path has no market-listing decision for the declared base nvidia/Nemotron-Labs-Diffusion-8B and raises rather than estimating; the deputy's answer to #19427 decides whether an entry is added
Last measured: 2026-10-15 · measurement release: v1.6.22
NVIDIA Nemotron Open Model License (https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/); base nvidia/Nemotron-Labs-Diffusion-8B
intelligence
49.6
calibration
89.0
speed
87.7
cost
—
Composite (secondary)
— · Not ranked on this board
Cost and measurement conditions
not published (not published)
UNPRICED. The frozen pricing_v15 module RAISES on the declared base nvidia/Nemotron-Labs-Diffusion-8B ('base model lacks an explicit market-listing decision') and the dated snapshot carries no listing of that family, so this row carries no pricing_base and is listed, measured and shown WITHOUT a cost number and WITHOUT a rank - the pre-declared default (Sage 1.4, Celeris Option A). No rate is invented. The predecessor nemotron-diffusion-8b row's usd_per_1000_override is a v1.5.4 historical carry on a different draw and is deliberately NOT reused. Asked of the deputy on board #19427; the server reports both token fields, so a later pricing decision needs no re-measurement.
Measured p50 latency: 0.101 s (on-GPU, no network, loopback; not directly comparable with API latency, which we time end to end from our measuring host, network included)
Ranking and cap use: 0.35 s (est. incl. network (2x + 150 ms))
Self-hosted model: measured p50 0.101 s on-GPU, no network (timed on our GPU over loopback). Not directly comparable with API latency, which we time end to end from our measuring host, network included. The ranking and latency cap use the same estimate for every self-hosted row: 2 × measured + 150 ms = 0.35 s. Model authors can ask us to time a hosted endpoint instead (on request).
x2 + 0.15 s (assumption, not measured)
Evaluator-owned rented Lium GPU pod (United States; measurement receipts on file), 1x NVIDIA RTX A6000 48 GB - different hardware from the L40S and GB200 the author quotes and from the H100/RTX 5090 rows of this draw. Started from the author's OWN published container, by DIGEST ghcr.io/pst2154/nemotron-deciffusion@sha256:944c0af4967ebd1e461a3b1faa9d16db197288af24393b21c917617461f35276 (image config sha256:0a4bd2d039b5c2da9ff8b181232ee3714f6b38e31bd9a3100a29326068d6f802), in the author's own documented sandboxed form: docker run --gpus all --shm-size=8g --network none --read-only --tmpfs /tmp:rw,exec,size=16g --user 1000:1000 --cap-drop ALL --security-opt no-new-privileges -v <checkpoint>:/models/checkpoint:ro, with QUANTIZATION=none (BF16) and MAX_MODEL_LEN=16384 and every other default of the image (ATTENTION=noncausal, COMPACT_OVER=8192, COMPACT_BUDGET=8192, MAX_BATCHED_TOKENS=65536, --no-enable-prefix-caching, --max-logprobs 1052, --logprobs-mode processed_logits, vLLM nightly fe4df3df0eb7 with the author's overlay). /health reported back quantization none, attention noncausal, max_prompt_tokens 16382. All ten checkpoint files verified against the author's own SHA256SUMS (sha256sum -c, 10/10 OK) BEFORE the container started. One request at a time from the unchanged runner, which reached the server through the container's own network namespace with nsenter - the container published no port and had no network at all. The cut was proven before the sealed input was staged (only lo, no routes, a name probe and a bare-IP probe both failed) and re-proven immediately before the first sealed request, with a synthetic smoke gate passed in between (custody #19428). 1,500/1,500 answered, HTTP 200 on every item, raw p50 105 ms / p95 180 ms / max 1.82 s.