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Favicon for liquid

LiquidAI: LFM2.5-2.6B

liquid/lfm-2.5-2.6b

Model weights
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LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or knowledge-heavy tasks.

Prompts and outputs may be retained and used to train Liquid models.

Modalities
In / out price
$0.35 / $0.50per 1M
Context
128K
Released
Aug 11, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for LiquidAI: LFM2.5-2.6B (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisLFM2.5-2.6B Coding Index7.7
Artificial AnalysisLFM2.5-2.6B GPQA Diamond55.8%
Artificial AnalysisLFM2.5-2.6B HLE6.2%
Artificial AnalysisLFM2.5-2.6B AA-LCR5.7%
Artificial AnalysisLFM2.5-2.6B τ-Bench Banking7.2%
Artificial AnalysisLFM2.5-2.6B GDPval-AA0.0%
Artificial AnalysisLFM2.5-2.6B CritPt0.0%
Artificial AnalysisLFM2.5-2.6B SciCode14.4%
Artificial AnalysisLFM2.5-2.6B Terminal-Bench 2.14.5%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

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AI Model RankingsRanking
Latency / throughput
$0.35$0.50$0.040.14s152 tok/s
100.00%
ProviderInput / Output /M
ThroughputUptime
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    Input $0.35 / Output $0.50
    Throughput 152 tok/sUptime 100.00%
Throughput
152tok/s

P50, best across providers

Latency
0.14s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
99.98%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.90%

Availability over the last 3 days

Last 72 hours
Availability 99.90%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.92%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or knowledge-heavy tasks. Prompts and outputs may be retained and used to train Liquid models.

LFM2.5-2.6B costs $0.35/M input tokens and $0.50/M output tokens, with separate rates for Cache Read at $0.04/M tokens.

LFM2.5-2.6B has a 128,000 token context window. It supports up to 8,192 completion tokens.

Yes. LFM2.5-2.6B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

d1.1, d1-ultra, LFM2.5-24B-A2B and 1 more are other text models from Liquid.

LFM2.5-2.6B was released on August 11, 2026.