LFM 2 24B A2B
LFM 2 24B A2B is Liquid AI's language model with a 128K context window. A 24B-parameter Mixture-of-Experts Liquid Foundation Model with only 2B active parameters, designed for efficient on-device deployment.
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities1/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.03 | $0.12 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host LFM 2 24B A2B, ranked by cheapest on-demand price. The model needs about 58 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NP10s |  Azure | AMD Alveo U250 FPGA (64GB) | 64 GB | $1.65/hr | westus2 | |
| Standard_NV32as_v4 | Azure | AMD Radeon Instinct MI25 | 64 GB | $1.86/hr | westus2 | |
| Standard_NP20s | Azure | 2× AMD Alveo U250 FPGA (64GB) | 128 GB | $3.30/hr | westus2 | |
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| LFM 2 24B A2B | 128K | — | — | Current | |
| LFM 2.5 1.2B Instruct | 33K | — | — | Available | |
| LFM 2.5 1.2B Thinking | 33K | — | — | Available | |
| LFM 2.5 8B A1B | — | — | — | — | Available |
| LFM 2 2.6B | — | — | — | — | Available |
| LFM 2 8B A1B | — | — | — | — | Available |
| LFM 2 1.2B | — | — | — | — | Available |
| LFM 2.5 1.6B VL | — | — | — | — | Available |
| LFM 40B | — | 131K | $0.100 | $0.200 | Available |
| LFM 7B | — | 131K | $0.025 | $0.040 | Available |