LLM Comparison
LFM2.5-1.2B-Instruct vs MiniCPM
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | LFM2.5-1.2B-Instruct | MiniCPM |
| Status | Current | Current |
| Release Date | Jan 2026 | — |
| Context Window | 33K tokens | 128K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Free tier available on OpenRouter with rate limits | Open-weight GitHub and Hugging Face model family. There is no fixed vendor API price; runtime cost depends on the host, hardware, or inference provider. |
| Capabilities | textcode | textcodereasoninglocal-inference |
| Training Cutoff | — | Not publicly specified in queued source |
| Max Output | — | 33K tokens |
| API Identifier | liquid/lfm-2.5-1.2b-instruct:free | OpenBMB/MiniCPM |
| Benchmarks | ||
| GPQA Diamond | 32.6263artificial-analysis | — |
| MiniCPM-SALA standard benchmark average | — | 76.53official-github-readme |
| MiniCPM-SALA long-context average | — | 38.97official-github-readme |
| MiniCPM-SALA 2048K extrapolation score | — | 81.6official-github-readme |
| MiniCPM4.1 reasoning decoding speedup | — | 3official-github-readme |
| MiniCPM4 Jetson AGX Orin decoding speedup vs Qwen3-8B | — | 7official-github-readme |
| View LFM2.5-1.2B-Instruct | View MiniCPM | |
Liquid AI
LFM2.5-1.2B-Instruct
LFM2.5-1.2B-Instruct is a large language model from Liquid AI. Supports up to 32,768 token context window. Available free with rate limits on OpenRouter.
OpenBMB
MiniCPM
MiniCPM is OpenBMB’s ultra-efficient open language-model family for edge and end-device deployment. The MiniCPM4 and MiniCPM4.1 lines focus on fast local reasoning, while MiniCPM-SALA extends the family toward sparse/linear attention and million-token context research.
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