BenchLeader

Lfm 2.5 2 6B

Lfm 2.5 2 6B is a Liquid AI open-weights model. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $0.387 per million tokens blended it is cheaper than most ranked models.

Blended price
$0.387/M
$0.350 in · $0.500 out
Output speed
–
First answer
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Context
128k
Full answer
–
Cost per run
–
Released
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date not published by our sources

No independent quality benchmark results yet — only pricing and metadata.

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.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0003––
Summarize a 30-page report12,000 / 600$0.0045––
Code edit6,000 / 1,500$0.0029––
Agentic coding session60,000 / 4,000$0.023––
Structured extraction2,000 / 200$0.0008––

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Questions people ask

Why does Lfm 2.5 2 6B have no BenchLeader Index score?
The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Lfm 2.5 2 6B has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
How much does Lfm 2.5 2 6B cost per 1M tokens?
As of 25 Oct 2026, Lfm 2.5 2 6B costs $0.350 per 1M input tokens and $0.500 per 1M output tokens, $0.387 blended (three input tokens per output token).

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Lfm 2.5 2 6B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/lfm-2-5-2-6b.