Model benchmarks

Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS local LLM performance

As of September 2026, Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS runs at up to 119.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cpp
ShareRedditX

Model size

35B

Peak speed

119.3 tok/s

Average speed

116.8 tok/s

Avg prefill

895.6 tok/s

Min memory

17.1 GB

Max context

131,072 tokens

Avg output / run

19,439 tokens

Avg runtime / run

2m 48s

Avg quality

81.2

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)
Overall78.681.283.8
Agent Workflow81.584.787.9
Code Generation77.578.078.4
Role Play & Narrative71.078.586.0
Research & Analysis82.783.684.5

Performance by hardware and tool

Every hardware/tool/quantization combination Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 5060llama.cpp119.3 tok/s116.8 tok/s17.1 GB131,072 tokens81.22

Frequently asked questions

Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS good for coding?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS scores 78.0/100 for coding. It runs at about 116.8 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS good for agentic (tool-using) tasks?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS scores 84.7/100 for agentic workflows. It runs at about 116.8 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~165.0 tok/s) and still scores well for agentic workflows (89.3/100).
How fast is Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS for local inference?
Across 2 community benchmark runs, Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS reaches up to 119.3 tok/s and averages 116.8 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
How much memory does Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS need?
The leanest observed configuration used about 17.1 GB of memory.
Which tools have been used to run Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.