LFM2.5 1.2B Instruct
Jan 2026
LFM2.5 1.2B InstructCompare inon
Benchmarks of LFM2.5 1.2B Instruct10
BenchmarkByScoreRank
Overall1
Knowledge4
Science2
Coding1
Legacy · saturated or no longer reported2
No benchmark matches
—per task?
self-host onlyprice
—output speed?
33Kcontext
Rankingin non-thinking mode?
Alternatives?
ModelScoreCostPer taskWhat changes
BetterGPT-6 Lunalow×4.1—$0.005Function calling only with none · Chat Completions+3IOpenK2 Horizon 7Bthinking×4—$0.30 / $1.20Memory (4-bit): 0.6 GB → 4.5 GB
BetterGranite 4.2 3BthinkingOpen+74%—$0.006Memory (4-bit): 0.6 GB → 1.8 GB
BetterGemma 4 E4BthinkingOpen+71%—$0.008Memory (4-bit): 0.6 GB → 4 GBBetterGPT-5.6 Lunalow×4—$0.01ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
GPT-6 Lunalow×4.1—$0.005Function calling only with none · Chat Completions+3Granite 4.2 3BthinkingOpen+74%—$0.006Memory (4-bit): 0.6 GB → 1.8 GBGemma 4 E4BthinkingOpen+71%—$0.008Memory (4-bit): 0.6 GB → 4 GBGPT-5.6 Lunalow×4—$0.01GPT OSS 20BhighOpen+72%—$0.011Memory (4-bit): 0.6 GB → 13 GBModelScoreCostPer taskWhat changes
IK2 Horizon 7BthinkingOpen×4—$0.30 / $1.20Memory (4-bit): 0.6 GB → 4.5 GBIK2 Horizon 3.7BthinkingOpen×3—$0.30 / $1.20Memory (4-bit): 0.6 GB → 2.5 GBGemma 4 12BthinkingOpen×2.7—$0.10 / $0.30Memory (4-bit): 0.6 GB → 6 GB
Qwen 3.5 9Bnon-thinkingOpen×2.5—$0.08 / $0.13Memory (4-bit): 0.6 GB → 4.8 GBQwen3.5 4BthinkingOpen×2.5—$0.03 / $0.15Memory (4-bit): 0.6 GB → 2.3 GBModelScoreCostPer taskWhat changes
LFM2.5 8B A1BthinkingOpen+39%——Memory (4-bit): 0.6 GB → 4.2 GBLFM2 24B A2Bnon-thinkingOpensame—$0.03 / $0.12Memory (4-bit): 0.6 GB → 14 GBLFM2.5 1.2B ThinkingthinkingOpensame——LFM2 2.6BOpensame——Memory (4-bit): 0.6 GB → 1.3 GBLFM2 8B A1BOpensame——Memory (4-bit): 0.6 GB → 4.2 GBLFM2.5 VL 1.6Bnon-thinkingOpensame——Memory (4-bit): 0.6 GB → 0.8 GBLFM2 1.2BOpensame——All Liquid AI models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
Licencelfm1.0commercial use with conditions
Benchmarks
all categoriesChat & Knowledge
Humanity's Last Exam6.7#231
AA Omniscience Index-72.1#299
CritPt (physics)0#180
AA Intelligence Index 4.3.2≈5.2#317
GPQA Diamond32.6#294
Coding
Agents & Tool Use
τ²-bench · AA10.8#226
Writing & Language
IFBench (instructions)43.8#137
FAQ
How much does LFM2.5 1.2B Instruct cost?›
There is no per-unit API price: self-host only.
Is LFM2.5 1.2B Instruct free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is LFM2.5 1.2B Instruct, and what is it best at?›
#229 of 334 in Chat & Knowledge, #210 of 239 in Coding, #223 of 242 in Agents & Tool Use, #136 of 245 in Writing & Language.
Is LFM2.5 1.2B Instruct better than LFM2 1.2B?›
On AA Intelligence Index 4.3.2, LFM2.5 1.2B Instruct scores 5.2 vs 4.8 — about the same.
What is the context window of LFM2.5 1.2B Instruct?›
33K tokens.
When was LFM2.5 1.2B Instruct released? Is there a newer version?›
Released 2026-01-05. It is the current version in its line.
Is LFM2.5 1.2B Instruct open source?›
Yes, the weights are open (lfm1.0 licence).
Can I run LFM2.5 1.2B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can LFM2.5 1.2B Instruct read images?›
No, it accepts text only.
What is LFM2.5 1.2B Instruct?›
LFM2.5 1.2B Instruct is an open-weights language model from Liquid AI, released Jan 2026, the successor to LFM2 1.2B.
What are the best alternatives to LFM2.5 1.2B Instruct?›
GPT-6 Luna (better), K2 Horizon 7B (open weights).