Compare / MiniCPM5 1B vs LFM2.5 1.2B Instruct

MiniCPM5 1B vs LFM2.5 1.2B Instruct

Updated November 2026

Verdict

MiniCPM5 1B scores higher on the Small LM Index: 29.5 vs 25.4, although their likely ranges overlap, so the lead is not certain. On the 5 benchmarks both labs report, MiniCPM5 1B wins 3 and LFM2.5 1.2B Instruct wins 2. Both need about 1.4 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.

Pick MiniCPM5 1B if…

  • you want the strongest model overall
  • you need precise instruction following
  • you build agents that call tools
  • you work with long documents
  • you need a permissive license (Apache-2.0)

Pick LFM2.5 1.2B Instruct if…

No clear advantage in the data we have.

Specifications

MiniCPM5 1BLFM2.5 1.2B Instruct
Small LM Index29.5 (likely 20–42)25.4 (likely 23–28)
LabOpenBMB (MiniCPM) · ChinaLiquid AI · United States
Released2026-05-212026-01-06
Parameters1.1B (dense)1.2B (dense)
Memory at 4-bit~1.4 GB~1.3 GB
Context window131K tokens32K tokens
Inputtexttext
ReasoningHybrid (thinking on/off)No thinking
LicenseApache-2.0LFM Open License
API price / 1M tokensSelf-host onlySelf-host only
Hugging Face downloads (30 days)257.9K120K

Benchmarks

Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.

BenchmarkMiniCPM5 1BLFM2.5 1.2B Instruct
MMLU-Pro Knowledge≈ 5344.4
GPQA Diamond Knowledge27.8✓32.6✓
Humanity's Last Exam Reasoning6.5✓6.7✓
AIME Math≈ 2114.0
τ²-Bench Agentic81.0✓10.8✓
IFBench Instruction following49.3✓43.8✓
IFEval Instruction following—86.2
BFCL Agentic—49.1
AA-LCR Long context6.0✓0.0✓

Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.

Questions

Which is better, MiniCPM5 1B or LFM2.5 1.2B Instruct?

MiniCPM5 1B scores higher on the Small LM Index: 29.5 vs 25.4, although their likely ranges overlap, so the lead is not certain. On the 5 benchmarks both labs report, MiniCPM5 1B wins 3 and LFM2.5 1.2B Instruct wins 2.

Which is cheaper to run?

Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 1.4 GB of memory at 4-bit quantization.

Which has the longer context window?

MiniCPM5 1B has the longer context window: 131K tokens against 32K.

Can I use MiniCPM5 1B and LFM2.5 1.2B Instruct commercially?

MiniCPM5 1B is released under Apache-2.0 and LFM2.5 1.2B Instruct under LFM Open License. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.

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