FreeLLMAPI
A service that provides a list of free cloud-based large language model APIs. Bees periodically synchronizes with it to obtain the latest list of free models; only version numbers are transmitted, with no user data included.
Timeline (last 90 days)
For scenarios involving proprietary algorithms or customer data, the safer approach is to use aggregation tools like FreeLLMAPI only on desensitized code or sample projects.
FreeLLMAPI aggregates 34 free LLM tiers behind a single OpenAI-compatible endpoint, and users can use it simply by pointing Claude Code or Codex requests to that endpoint.
FreeLLMAPI's documentation highlights two key commands: one for starting the local service and loading all configured free tiers, and another for proxying Claude Code or Codex requests to that service.
FreeLLMAPI itself does not provide models; rather, it aggregates the free quotas already offered by various vendors.
FreeLLMAPI's documentation explicitly lists several categories of limitations: call frequency caps on free tiers, incomplete support for long context or specific features in some models, and additional latency that the aggregation layer itself may introduce.
FreeLLMAPI is suitable for scenarios such as prototype validation, learning experiments, and lightweight coding assistance, and is not suitable for production environments or tasks with stability requirements.
Aggregating multiple free tiers does not break any single vendor's quota; it merely combines multiple independent quotas into a larger pool, and the pool's total capacity is strongly tied to each backend's policies.
Using FreeLLMAPI means requests pass through a third-party service: code snippets, file paths, business logic in comments, and even keys may appear in the request bodies sent to the aggregation endpoint, and the log retention and data usage policies of the aggregator and its upstream vendors are not under the user's control.
Teams can switch backend models via FreeLLMAPI without changing their workflow, and individual developers can experiment at zero cost.
Bees has a built-in small server that supports a free cloud AI option, running on every startup; 10 seconds after startup and then every 12 hours it accesses api.freellmapi.co to sync the free model list, and this can be disabled by setting CATALOG_SYNC_DISABLED=1.
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All Facts (20)
For scenarios involving proprietary algorithms or customer data, the safer approach is to use aggregation tools like FreeLLMAPI only on desensitized code or sample projects.
50%UnverifiedFreeLLMAPI aggregates 34 free LLM tiers behind a single OpenAI-compatible endpoint, and users can use it simply by pointing Claude Code or Codex requests to that endpoint.
50%UnverifiedFreeLLMAPI's documentation highlights two key commands: one for starting the local service and loading all configured free tiers, and another for proxying Claude Code or Codex requests to that service.
50%UnverifiedFreeLLMAPI itself does not provide models; rather, it aggregates the free quotas already offered by various vendors.
50%UnverifiedFreeLLMAPI's documentation explicitly lists several categories of limitations: call frequency caps on free tiers, incomplete support for long context or specific features in some models, and additional latency that the aggregation layer itself may introduce.
50%UnverifiedFreeLLMAPI is suitable for scenarios such as prototype validation, learning experiments, and lightweight coding assistance, and is not suitable for production environments or tasks with stability requirements.
50%UnverifiedAggregating multiple free tiers does not break any single vendor's quota; it merely combines multiple independent quotas into a larger pool, and the pool's total capacity is strongly tied to each backend's policies.
50%UnverifiedUsing FreeLLMAPI means requests pass through a third-party service: code snippets, file paths, business logic in comments, and even keys may appear in the request bodies sent to the aggregation endpoint, and the log retention and data usage policies of the aggregator and its upstream vendors are not under the user's control.
50%UnverifiedTeams can switch backend models via FreeLLMAPI without changing their workflow, and individual developers can experiment at zero cost.
50%UnverifiedBees has a built-in small server that supports a free cloud AI option, running on every startup; 10 seconds after startup and then every 12 hours it accesses api.freellmapi.co to sync the free model list, and this can be disabled by setting CATALOG_SYNC_DISABLED=1.
50%UnverifiedFreeLLMAPI is an OpenAI-interface-compatible proxy service that aggregates the free quotas of 28 LLM providers behind a single /v1 endpoint.
50%UnverifiedFree-quota vendors may adjust, reduce, or even cancel their free policies at any time, meaning services built on free quotas lack long-term stability guarantees.
50%UnverifiedAccording to the project description, FreeLLMAPI can cumulatively provide approximately 4 billion tokens of calls per month.
50%UnverifiedFreeLLMAPI is written in TypeScript.
50%UnverifiedThe GitHub repository path for FreeLLMAPI is tashfeenahmed/freellmapi.
50%UnverifiedAny application that supports the OpenAI SDK can access large models from 28 vendors with almost no code changes simply by pointing the Base URL to the FreeLLMAPI proxy service.
50%UnverifiedFreeLLMAPI provides intelligent routing, distributing requests to the appropriate backend provider based on model capability, available quota, or load conditions.
50%UnverifiedFreeLLMAPI provides an automatic failover mechanism that automatically switches to other available backends when a provider hits a rate limit, exhausts its quota, or experiences a service anomaly.
50%UnverifiedFreeLLMAPI provides an encrypted key feature that encrypts stored credentials and supports connecting to any custom OpenAI-compatible endpoint.
50%UnverifiedFreeLLMAPI explicitly labels itself in the project description as for personal experimentation only, targeting individual developers, learners, and technology enthusiasts.
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