Liquid AILFM2 24B A2B
LFM2 24B A2B is a Liquid AI open-weights model, released 25 Feb 2026. Its best configuration ranks #650 of 785 on the BenchLeader Index at 40.8 ±5.9, in the lower half. The ± is the point: 310 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (48) and lowest in long context (23). At $0.053 per million tokens blended it is among the cheapest fifth of ranked models. Last measured 25 Feb 2026.stale: no new result in six months
- Blended price
- $0.053/M
- $0.030 in · $0.120 out
- Output speed
- –
- First answer
- –
- Context
- 33k
- Full answer
- –
- Cost per run
- –
- Released
- 25 Feb 2026
- Overall index41
- Reasoning41
- Agents & tools34
- Knowledge35
- Instruction following48
- Long context23
- Composite36
How its index has moved
9 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source |
|---|---|---|
| GPQA Diamond (AA)not in index | 47.4%#440 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 4.2%#522 | Artificial Analysis |
| CritPt | 0.0%#315 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source |
|---|---|---|
| Terminal-Bench Hard | 0.0%#362 | Artificial Analysis |
| τ²-Bench Telecom (AA)not in index | 11.1%#379 | Artificial Analysis |
Knowledge
| Benchmark | not stated | Source |
|---|---|---|
| AA-Omniscience | -58.1#451 | Artificial Analysis |
| AA-Omniscience: accuracynot in index | 6.5%#535 | Artificial Analysis |
| AA-Omniscience: non-hallucinationnot in index | 31.0%#217 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source |
|---|---|---|
| IFBench | 45.9%#198 | Artificial Analysis |
Long context
| Benchmark | not stated | Source |
|---|---|---|
| AA-LCR | 0.0%#493 | Artificial Analysis |
Composite
| Benchmark | not stated | Source |
|---|---|---|
| AA Intelligence Index v4.3.2 | 6.0#550 | Artificial Analysis |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0000 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0004 | – | – |
| Code edit | 6,000 / 1,500 | $0.0004 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.0023 | – | – |
| Structured extraction | 2,000 / 200 | $0.0001 | – | – |
See also
Questions people ask
- What are LFM2 24B A2B's benchmark scores?
- As of 24 Oct 2026, LFM2 24B A2B scores 40.8 ±5.9 on the BenchLeader Index, strongest in instruction following (48) and weakest in long context (23). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
- How does LFM2 24B A2B rank?
- LFM2 24B A2B is #650 of 785 ranked configurations on 24 Oct 2026. 310 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does LFM2 24B A2B cost per 1M tokens?
- As of 24 Oct 2026, LFM2 24B A2B costs $0.030 per 1M input tokens and $0.120 per 1M output tokens, $0.053 blended (three input tokens per output token).
- When was LFM2 24B A2B released?
- Liquid AI released LFM2 24B A2B on 25 Feb 2026.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “LFM2 24B A2B: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/lfm2-24b-a2b.