LFM2.5 1.2B Instruct
Released
2026-02-01
Last refreshed
2026-07-10
Status
Researched 61d ago
Open weightsCommercial use: conditionalAgentsClassificationJSON / Tool use
LFM2.5 1.2B Instruct is worth evaluating for agents, classification, and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating agents, classification, and json / tool use
- Workloads that can use a 32k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
Specifications
- Family
- LFM-2.5
- Released
- 2026-02-01
- Context
- 32k
- Parameters
- 1.2B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024
- Specialization
- general
- Openness
- Open weights
- License
- LFM Open License v1.0Commercial use: conditional
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
Pricing
Output / 1M
-
Input / 1M
-
Cheapest of 1 route · Liquid AI
Links
About
LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model from LiquidAI built for fast on-device AI. It delivers strong results on benchmarks relative to its size.
Top use-case fit: coding, agents, and build tasks
Agents
1 relevant benchmark in the decision map.
Classification
1 relevant benchmark in the decision map.
JSON / Tool use
1 relevant benchmark in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Liquid AI | - | - | Partial |
Capabilities
JSON / Tool use
Benchmark peer barsfor Agents
Berkeley Function Calling Leaderboard v3Rank 14 of 14
Benchmark scores(4)
Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| AIME 2025 | 14.0 | AIME 2025 (accuracy)Observed 2026-06-07 | — | Source |
| Berkeley Function Calling Leaderboard v3 | 49.1 | BFCLv3 (accuracy)Observed 2026-06-07 | — | Source |
| Google-Proof Q&A | 38.9 | GPQA (accuracy)Observed 2026-06-07 | — | Source |
| MMLU PRO | 44.4 | From official model card (accuracy)Observed 2026-06-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(1)
Pricing
Output / 1M
-
Input / 1M
-
Cheapest of 1 route · Liquid AI
Links