Model benchmarks

glm-4.7-flash:latest local LLM performance

As of April 2026, glm-4.7-flash:latest runs at up to 7.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

OllamaQ4_K_M
ShareRedditX

Model size

29.9B

Peak speed

7.9 tok/s

Average speed

7.0 tok/s

Min memory

24.3 GB

Max context

65.536 tokens

Avg quality

66.2

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)
Overall63.566.268.9
Agent Workflow72.176.580.9
Code Generation54.558.562.6
Role Play & Narrative61.163.165.2
Research & Analysis62.566.871.0

Performance by hardware and tool

Every hardware/tool/quantization combination glm-4.7-flash:latest has been benchmarked on, ranked by peak token generation speed. Last updated April 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7900 XTXOllamaQ4_K_M7.9 tok/s7.0 tok/s24.3 GB65.536 tokens66.22

Benchmark runs

All 2 glm-4.7-flash:latest runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is glm-4.7-flash:latest good for coding?
In our benchmarks, glm-4.7-flash:latest scores 58.5/100 for coding. It runs at about 7.0 tok/s, so if you want more speed, /home/polaris/models/Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL.gguf is faster (~35.6 tok/s) and still scores well for coding (84.9/100).
Is glm-4.7-flash:latest good for agentic (tool-using) tasks?
In our benchmarks, glm-4.7-flash:latest scores 76.5/100 for agentic workflows. It runs at about 7.0 tok/s, so if you want more speed, muse-glimmer:latest is faster (~34.5 tok/s) and still scores well for agentic workflows (93.0/100).
How fast is glm-4.7-flash:latest for local inference?
Across 2 community benchmark runs, glm-4.7-flash:latest reaches up to 7.9 tok/s and averages 7.0 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
How much memory does glm-4.7-flash:latest need?
The leanest observed configuration used about 24.3 GB of memory (quantizations tested: Q4_K_M).
Which tools have been used to run glm-4.7-flash:latest?
Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.