Model benchmarks

Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS local LLM performance

As of October 2026, Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS runs at up to 29.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cpp
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Model size

35B

Peak speed

29.7 tok/s

Average speed

29.4 tok/s

Avg PP

521.4 tok/s

Min memory

15.6 GB

Max context

65,536 tokens

Avg output / run

24,531 tokens

Avg runtime / run

14m 5s

Avg quality

84.4

Benchmark runs

2

GPUs tested

1

Quality by task

Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

TaskP5 (low)AvgP95 (high)
Overall82.984.486.0
Agent Workflow84.385.486.6
Code Generation74.576.979.3
Role Play & Narrative88.188.488.7
Research & Analysis84.686.989.3

Performance by hardware and tool

Every hardware/tool/quantization combination Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 4060 Tillama.cpp—29.7 tok/s29.4 tok/s15.6 GB65,536 tokens84.42

Benchmark runs

All 2 Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS good for coding?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS scores 76.9/100 for coding. It runs at about 29.4 tok/s, so if you want more speed, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_XXS-mtp is faster (~37.5 tok/s) and still scores well for coding (83.8/100).
Is Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS good for agentic (tool-using) tasks?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS scores 85.4/100 for agentic workflows. It runs at about 29.4 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
How fast is Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS for local inference?
Across 2 community benchmark runs, Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS reaches up to 29.7 tok/s and averages 29.4 tok/s, with the fastest results on NVIDIA GeForce RTX 4060 Ti.
How much memory does Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS need?
The leanest observed configuration used about 15.6 GB of memory.
Which tools have been used to run Cyber-Tiel-Coder-35B-A3B-UD-IQ4_XS?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.