llamaperf

Metis-1.6

1 report

Metis-1.6 VRAM requirements by size and quant →

How does Metis-1.6 run on your hardware?

Pick your GPU or Mac, then read the speeds people reported for Metis-1.6 on it, or estimate memory fit and speed.

Free to use. No account needed. Memory estimates and community measurements are labelled separately.

Run Metis-1.6 yourself? Add your numbers.

Your coding agent can run a speed test on your machine and send it here with a free account. Or paste a result you've already posted.

Reported performance for Metis-1.6

Filter this model’s reports by setup →
Thin page (1 of 3 reports needed for indexing). Add yours.
Tone: positiveNVIDIA hardware
generation:
187.0 tokens/s
quant:
FP8 (FP8)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

math

User reports Metis-1.6 Logos decoding FP8 at 187 tok/s single-stream on an RTX 5070 Ti with the author's Dromos engine, against 118 tok/s for vLLM. Dromos speculates from context for about 1.3x on chat in direct mode; the model is a looped Mamba-2 plus latent-MoE design with 10.23B total and 1.18B active parameters and 131K context. Across 32 streams Dromos reaches 1,331 tok/s versus vLLM's 1,143. The post is a release write-up: the author flags that AIME, HMMT and other olympiad benchmarks are not yet in the decontamination manifest, and that thinking runs a median of about 25k tokens.

Nov 3, 2026

Get a weekly email of new Metis-1.6 reports on any GPU.

Email me new reports

Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
Metis-1.6 10.23B (1.18B active) Logos
NVIDIA RTX 5070 Ti
FP8
Dromos
Not reported187.0 tokens/s