Model benchmarks

MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 local LLM performance

As of October 2026, MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 runs at up to 100.4 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).

llama.cpp
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Model size

35B

Peak speed

100.4 tok/s

Average speed

92.7 tok/s

Avg PP

1136.0 tok/s

Min memory

16.9 GB

Max context

131,072 tokens

Avg output / run

9,149 tokens

Avg runtime / run

1m 38s

Avg quality

76.1

Benchmark runs

3

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 3 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)
Overall75.076.177.0
Agent Workflow81.884.687.1
Code Generation53.961.866.9
Role Play & Narrative73.279.987.1
Research & Analysis77.478.178.6

Performance by hardware and tool

Every hardware/tool/quantization combination MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 5060llama.cpp—100.4 tok/s92.7 tok/s16.9 GB131,072 tokens76.13

Benchmark runs

All 3 MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 good for coding?
In our benchmarks, MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 scores 61.8/100 for coding. It runs at about 92.7 tok/s, so if you want more speed, Ornith-1.5-35B-A3B.APEX-I-NanoPlus is faster (~110.5 tok/s) and still scores well for coding (81.1/100).
Is MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 good for agentic (tool-using) tasks?
In our benchmarks, MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 scores 84.6/100 for agentic workflows. It runs at about 92.7 tok/s, so if you want more speed, cyber-tiel-coder-35b-a3b-mtp is faster (~115.9 tok/s) and still scores well for agentic workflows (86.4/100).
How fast is MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 for local inference?
Across 3 community benchmark runs, MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 reaches up to 100.4 tok/s and averages 92.7 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
How much memory does MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1 need?
The leanest observed configuration used about 16.9 GB of memory.
Which tools have been used to run MiniCPM-V-4.7-35B-A3B.APEX-I-NanoPlus-V2.1?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.