Is Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL good for agentic (tool-using) tasks?

In our benchmarks, Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL scores 80.9/100 for agentic workflows. It runs at about 103.3 tok/s, so if you want more speed, gpt-oss-20b-MXFP4 is faster (~119.7 tok/s) and still scores well for agentic workflows (83.3/100).

How fast is Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL for local inference?

Across 6 community benchmark runs, Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL reaches up to 118.3 tok/s and averages 103.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.

How much memory does Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL need?

The leanest observed configuration used about 18.8 GB of memory (quantizations tested: Q2_K).

Which tools have been used to run Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL?

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

Model benchmarks

Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL local LLM performance

As of September 2026, Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL runs at up to 118.3 tok/s for local inference (best of 6 community benchmark runs across 1 GPU).

llama.cppQ2_K

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Model size

35B

Peak speed

118.3 tok/s

Average speed

103.3 tok/s

Avg PP

1073.2 tok/s

Min memory

18.8 GB

Max context

262,144 tokens

Avg output / run

19,167 tokens

Avg runtime / run

3m 12s

Avg quality

79.3

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 6 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	70.8	79.3	85.3
Agent Workflow	71.9	80.9	91.9
Code Generation	37.7	67.8	83.9
Role Play & Narrative	80.4	84.1	87.1
Research & Analysis	80.0	84.6	89.4

Performance by hardware and tool

Every hardware/tool/quantization combination Tiel-Coder-35B-A3B-MTP-UD-Q2_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
NVIDIA GeForce RTX 5060	llama.cpp	Q2_K	118.3 tok/s	103.3 tok/s	18.8 GB	262,144 tokens	79.3	6

Benchmark runs

All 6 Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL good for agentic (tool-using) tasks?: In our benchmarks, Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL scores 80.9/100 for agentic workflows. It runs at about 103.3 tok/s, so if you want more speed, gpt-oss-20b-MXFP4 is faster (~119.7 tok/s) and still scores well for agentic workflows (83.3/100).
How fast is Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL for local inference?: Across 6 community benchmark runs, Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL reaches up to 118.3 tok/s and averages 103.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
How much memory does Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL need?: The leanest observed configuration used about 18.8 GB of memory (quantizations tested: Q2_K).
Which tools have been used to run Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.