8.4
Intelligence Index
Above 28% of 46 other free models
Li
LiquidAI: LFM2.5-2.6B
Free allowance
Up to200requests / hour
via Kilo
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...
- Input
- text
- Output
- text
Providers
Available through 2 free providers. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
7.7
Coding Index
Above 9% of 33 other free models
Bars show scores from other free models on this site. The marker shows this model’s score. Comparisons include only models with a score for that index.
Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
LFM2.5-2.6B is available with up to 200 requests / hour free through Kilo. Free allowances can change. Check the LFM2.5-2.6B provider limits before you start.
To use LFM2.5-2.6B, choose one of the listed LFM2.5-2.6B API providers and follow the provider’s account and API-key setup guide. Copy the LFM2.5-2.6B model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
LFM2.5-2.6B accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s LFM2.5-2.6B documentation for supported file types and request formats.
LFM2.5-2.6B has a listed context window of 66K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for LFM2.5-2.6B may be smaller than the context window and can vary by provider.
LFM2.5-2.6B has both reasoning and tool calling listed as supported capabilities. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed LFM2.5-2.6B benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate LFM2.5-2.6B on examples from your own task alongside context size and provider limits.