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MiniCPM5-2B

  • Released
  • Open weights
  • Apache 2.0
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Intelligence Index

Reasoning setting

12.5#65 of 83measured models
Measured · Artificial Analysis v4.3.2
Context window
131.07K tok

Performance profile

ReasoningRank #77 of 107
70.2%
GPQA Diamond
CodingRank #84 of 94
26.3%
SciCode

Capabilities

Context window

Modalities

Measured setting

Reasoning trade-offs

Source (opens in a new tab)
Intelligence Index v4.3.2
Reasoning
Intelligence Index
12.5

Pricing & access

No API offering listed in our tracked sources.

Run locally

GGUF
Context
Estimated memory

~3.8 GiB

RAM + VRAM

Estimate assumptions

One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.

8 GiB RAMwithout GPU offload

Memory budgetOne text chat
Weights
1.5 GiB
Context cache
0.3 GiB16-bit cache
App allowance
2 GiB
Download
1.6 GB
Disk space
~7 GB
Available software
Ollama (opens in a new tab)LM Studio (opens in a new tab)Jan (opens in a new tab)GPT4All (opens in a new tab)KoboldCpp (opens in a new tab)llama.cpp (opens in a new tab)
Get GGUF (opens in a new tab)
Set up in Ollama · Q4_K_M · 8K context

Save the following as Modelfile. The context matches the estimate above.

FROM hf.co/bartowski/MiniCPM5-2B-GGUF:Q4_K_M
PARAMETER num_ctx 8192

Then run these commands in your terminal:

ollama create llmcurrent-local -f Modelfile
ollama run llmcurrent-local

Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter bartowski/MiniCPM5-2B-GGUF, choose Q4_K_M, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.

vLLM setup (opens in a new tab)

Benchmarks

Full leaderboardSource (opens in a new tab)

Humanity’s Last Exam

Frontier reasoning

MiniCPM5-2B · Reasoning#97 of 126

  1. 1Claude Opus 5.5Max61.4%
  2. 2Claude Fable 5.1Max59.1%
  3. 3Gemini 4 ArgonHigh57.1%
  5. 94Granite 4.2 8BReasoning9.7%
  6. 95Nova 2.0 Pro PreviewMedium9.4%
  7. 96Ling 3.0 TinyReasoning9.3%
  8. 97MiniCPM5-2BReasoning8.9%
  9. 98Qwen3 Next 80B A3B InstructStandard7.6%
  10. 99Qwen3.5 Omni FlashStandard7.6%
  11. 100Qwen3 Omni 30B A3B (Reasoning)Reasoning7.5%

Peers use their best measured result on this benchmark.

Alternatives

Each model at its highest-scoring measured setting · Intelligence Index v4.3.2 and its evaluation cost per task.