Overview
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
Our take
What genuinely differentiates LiquidAI: LFM2.5-24B-A2B from alternatives like Claude or ChatGPT is its explicit focus on agent-style workflows. While other chatbots primarily target direct user interaction, this model is built for agents that call tools, offering features such as tool/function calling and structured JSON outputs. This makes it particularly suitable for scenarios where an AI needs to interact with external systems or APIs, such as an automated research assistant that fetches data and summarises findings based on specific queries. Unlike general-purpose models, its built-in reasoning (chain-of-thought) mode is designed for tackling harder problems, despite its 2.45B active parameters within a 24B total parameter architecture. However, its 128,000-token context window is smaller than many current models, and it is limited to text-only input. Ideal for developers building automated systems or specialised research tools who need reliable, structured outputs and a lower API cost of $0.05 per 1M input tokens. Those requiring multimedia input or a larger context window may need to consider other options.
How LiquidAI: LFM2.5-24B-A2B stacks up
Among the 380 chatbots & llms tools in our directory, it ranks #248 of 375 on quality (7.6/10), 6% below the 375-tool average of 8.1, and its $0.05/1M input-token rate is in the budget end — 97% cheaper than the 363-model average of $1.94/1M.
Weighing quality against cost, LiquidAI: LFM2.5-24B-A2B's cost-per-quality-point of $0.01 places it in the top 6% for value among chatbots & llms tools.
LiquidAI: LFM2.5-24B-A2B in depth
LiquidAI: LFM2.5-24B-A2B, built by Liquid AI, sits in the chatbots & llms space and is a paid tool starting at $0.05/1M tokens. Our editors rate it 7.6 out of 10 based on capability, ecosystem and value. It handles a context window of 128,000 tokens.
On the feature side, LiquidAI: LFM2.5-24B-A2B brings 128,000-token context window, reasoning / chain-of-thought, tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is low api price — $0.05 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.
LiquidAI: LFM2.5-24B-A2B is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓128,000-token context window
- ✓Reasoning / chain-of-thought
- ✓Tool / function calling
- ✓Structured (JSON) outputs
Pricing
Pros
- +Low API price — $0.05 per 1M input tokens, cheaper than roughly 75% of comparable models
- +Built-in reasoning (chain-of-thought) mode for harder problems
- +Supports tool / function calling for agent-style workflows
- +Can return structured JSON output for reliable parsing
Cons
- −No free tier — usage is billed per token
- −Context window of 128,000 tokens is smaller than most current models
- −Text-only: does not accept image input
Who should use LiquidAI: LFM2.5-24B-A2B
- →Anyone looking for a chatbots & llms tool from Liquid AI.
- →Teams and individuals focused on research and writing.
- →People who value low api price — $0.05 per 1m input tokens, cheaper than roughly 75% of comparable models.
- →Workflows that need a 128,000 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
- →Those for whom no free tier — usage is billed per token is a dealbreaker.
- →Users who can't accept that context window of 128,000 tokens is smaller than most current models.
Best for
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LiquidAI: LFM2.5-24B-A2B vs top alternatives
A side-by-side look at how LiquidAI: LFM2.5-24B-A2B stacks up against its closest rivals.
| Feature | LiquidAI: LFM2.5-24B-A2BLiquid AI | ClaudeAnthropic | ChatGPTOpenAI | GeminiGoogle DeepMind |
|---|---|---|---|---|
| Quality score | 7.6 / 10 | 9.6 / 10 | 9.5 / 10 | 9.2 / 10 |
| Starting price | $0.05/1M tokens | $20/mo | $20/mo | $20/mo |
| Free tier | No | Yes — Free tier available | Yes — Free tier available | Yes — Free tier available |
| API input price | $0.05 / 1M tokens | $0.1 / 1M tokens | $2 / 1M tokens | $2 / 1M tokens |
| API output price | $0.7 / 1M tokens | $0.5 / 1M tokens | $10 / 1M tokens | $10 / 1M tokens |
| Speed | — | Fast | Fast | Fast |
| Context window | 128,000 tokens | 200K tokens | 128K tokens | 1M-2M tokens |
| Categories | Chatbots & LLMs | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing |
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Frequently asked questions
Q. Is LiquidAI: LFM2.5-24B-A2B free?
No — LiquidAI: LFM2.5-24B-A2B is a paid tool, starting at $0.05/1M tokens.
Q. How much does LiquidAI: LFM2.5-24B-A2B cost?
LiquidAI: LFM2.5-24B-A2B starts at $0.05/1M tokens. API usage is around $0.05 per 1M input tokens and $0.7 per 1M output tokens.
Q. What is LiquidAI: LFM2.5-24B-A2B best for?
LiquidAI: LFM2.5-24B-A2B is best suited to research and writing, within the chatbots & llms category.
Q. What are the best LiquidAI: LFM2.5-24B-A2B alternatives?
Popular alternatives to LiquidAI: LFM2.5-24B-A2B include Claude, ChatGPT, Gemini and MoonshotAI: Kimi K3.1 Pro. Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to LiquidAI: LFM2.5-24B-A2B?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from LiquidAI: LFM2.5-24B-A2B?
Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Context window of 128,000 tokens is smaller than most current models; Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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