Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL good for coding?

In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL scores 76.6/100 for coding. It runs at about 39.1 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).

Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL good for agentic (tool-using) tasks?

In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL scores 83.8/100 for agentic workflows. It runs at about 39.1 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).

How fast is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL for local inference?

Across 14 community benchmark runs, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL reaches up to 42.1 tok/s and averages 39.1 tok/s, with the fastest results on Tesla P100-PCIE-16GB.

Which tools have been used to run Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL?

Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.

Model benchmarks

Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL local LLM performance

As of September 2026, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL runs at up to 42.1 tok/s for local inference (best of 14 community benchmark runs across 1 GPU).

llama.cppQ4_K

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Model size

35B

Peak speed

42.1 tok/s

Average speed

39.1 tok/s

Avg PP

583.2 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

15,552 tokens

Avg runtime / run

6m 43s

Avg quality

81.6

Benchmark runs

GPUs tested

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 14 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

Task	P5 (low)	Avg	P95 (high)
Overall	76.2	81.6	85.6
Agent Workflow	74.7	83.8	90.7
Code Generation	69.6	76.6	83.0
Role Play & Narrative	72.9	84.0	90.5
Research & Analysis	75.6	81.8	88.3

Performance by hardware and tool

Every hardware/tool/quantization combination Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
Tesla P100-PCIE-16GB	llama.cpp	Q4_K	42.1 tok/s	39.1 tok/s	n/a	65,536 tokens	81.6	14

Benchmark runs

All 14 Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL good for coding?: In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL scores 76.6/100 for coding. It runs at about 39.1 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL good for agentic (tool-using) tasks?: In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL scores 83.8/100 for agentic workflows. It runs at about 39.1 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
How fast is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL for local inference?: Across 14 community benchmark runs, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL reaches up to 42.1 tok/s and averages 39.1 tok/s, with the fastest results on Tesla P100-PCIE-16GB.
Which tools have been used to run Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.