MiniCPM5-1B
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
12.0
AA Index
Coding
1.5
AA Index
Agentic
27.0
AA Index
Intelligence Index - MiniCPM5-1B vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Coding Index comparison
Agentic Index comparison
Benchmark data from Artificial Analysis · updated 2026-06-18.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA | 27.8 |
Will it run on your hardware?
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Need an exact figure for your context length? Use the VRAM calculator.
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Deep dive
Notes, sources, and the full write-up
MiniCPM5-1B is a 1.1B-parameter apache-2.0 model from openbmb. It scores 11.7 on the Artificial Analysis Intelligence Index (coding 0.5). At Q4_K_M it needs roughly 1 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - MiniCPM5-1B vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| MiniCPM5-1B | 11.7 | 0.5 | 26.9 |
| Claude Fable 5 (with fallback) | 59.9 | 76.5 | 92.6 |
| Claude Opus 4.8 (max) | 55.7 | 56.7 | 92 |
| GPT-5.5 (xhigh) | 54.8 | 74.9 | 93.5 |
| Claude Opus 4.7 (max) | 53.5 | 52.5 | 91.4 |
| Gemini 3.5 Flash | 50.2 | 45 | 92.2 |
Source: Artificial Analysis (2026-06-18).
Popularity
MiniCPM5-1B has 216,603 downloads in the last month on HuggingFace and 807 likes.
Frequently asked
Quick answers to common questions
How much VRAM does MiniCPM5-1B need?
MiniCPM5-1B with 1.1B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is MiniCPM5-1B better than other openbmb models?
MiniCPM5-1B has 1.1B parameters with 131,072 context - a strong choice for general use.
What license is MiniCPM5-1B under?
MiniCPM5-1B is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs MiniCPM5-1B well?
With 1.1B parameters, MiniCPM5-1B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for MiniCPM5-1B?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can MiniCPM5-1B's context window handle?
MiniCPM5-1B supports a 131,072-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with MiniCPM5-1B?
MiniCPM5-1B competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
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