TL;DR: ClinePass is now my primary LLM API provider - it's been a fantastic buy

NOTE: I'm deciding against featherless because of context size limits and other limitations on the lower cost plans see the post below NOTE 2: ClinePass has been a valuable provider. For the near future I will use it as my go-to for inference, and only pay OpenRouter when needed.

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you're not using a high volume of tokens daily, then a pay-per-token plan like Openrouter may end up being cheaper, but if you use a ton of tokens regularly, their offering may be hard to beat for the price: $300 per year for a premium account with 4 concurrent requests ($25/month paid yearly).

That may potentially be a great plan for a single developer who regularly uses high volumes of inference tokens for solo project work. Here's an explanation from the Featherless blog:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

They offer models from:

DeepSeek 4
Qwen 3
Llama 3.1
Mistral
Gemma 3
Kimi K2
GPT OSS

Their 'scale' plan offers 8 concurrent requests for $75 per month, and they can build custom plans for production projects which require greater concurrent usage.

TL;DR: ClinePass is now my primary LLM API provider

NOTE: I'm deciding against featherless because of context size limits and other limitations on the lower cost plans see the post below NOTE 2: ClinePass has been a valuable provider. For the near future I will use it as my go-to for inference, and only pay OpenRouter when needed.

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you're not using a high volume of tokens daily, then a pay-per-token plan like Openrouter may end up being cheaper, but if you use a ton of tokens regularly, their offering may be hard to beat for the price: $300 per year for a premium account with 4 concurrent requests ($25/month paid yearly).

That may potentially be a great plan for a single developer who regularly uses high volumes of inference tokens for solo project work. Here's an explanation from the Featherless blog:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

They offer models from:

DeepSeek 4
Qwen 3
Llama 3.1
Mistral
Gemma 3
Kimi K2
GPT OSS

Their 'scale' plan offers 8 concurrent requests for $75 per month, and they can build custom plans for production projects which require greater concurrent usage.

NOTE: I'm deciding against featherless because of context size limits and other limitations on the lower cost plans see the post below NOTE 2: ClinePass has been a valuable provider. For the near future I will use it as my go-to for inference, and only pay OpenRouter when needed.

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you're not using a high volume of tokens daily, then a pay-per-token plan like Openrouter may end up being cheaper, but if you use a ton of tokens regularly, their offering may be hard to beat for the price: $300 per year for a premium account with 4 concurrent requests ($25/month paid yearly).

That plan seems like a great plan for a single developer who regularly uses high volumes of inference tokens for solo project work. Here's an explanation from the Featherless blog:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

The offer models from:

DeepSeek 4
Qwen 3
Llama 3.1
Mistral
Gemma 3
Kimi K2
GPT OSS

Their 'scale' plan offers 8 concurrent requests for $75 per month, and they can build custom plans for production projects which require greater concurrent usage.

NOTE: I'm deciding against featherless because of context size limits and other limitations on the lower cost plans see the post below

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you're not using a high volume of tokens daily, then a pay-per-token plan like Openrouter may end up being cheaper, but if you use a ton of tokens regularly, their offering may be hard to beat for the price: $300 per year for a premium account with 4 concurrent requests ($25/month paid yearly).

That plan seems like a great plan for a single developer who regularly uses high volumes of inference tokens for solo project work. Here's an explanation from the Featherless blog:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

The offer models from:

DeepSeek 4
Qwen 3
Llama 3.1
Mistral
Gemma 3
Kimi K2
GPT OSS

Their 'scale' plan offers 8 concurrent requests for $75 per month, and they can build custom plans for production projects which require greater concurrent usage.

NOTE: I'm deciding against featherless because of context size limits and other limitations see the post below

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you're not using a high volume of tokens daily, then a pay-per-token plan like Openrouter may end up being cheaper, but if you use a ton of tokens regularly, their offering may be hard to beat for the price: $300 per year for a premium account with 4 concurrent requests ($25/month paid yearly).

That plan seems like a great plan for a single developer who regularly uses high volumes of inference tokens for solo project work. Here's an explanation from the Featherless blog:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

The offer models from:

DeepSeek 4
Qwen 3
Llama 3.1
Mistral
Gemma 3
Kimi K2
GPT OSS

Their 'scale' plan offers 8 concurrent requests for $75 per month, and they can build custom plans for production projects which required greater concurrent usage.

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you're not using a high volume of tokens daily, then a pay-per-token plan like Openrouter may end up being cheaper, but if you use a ton of tokens regularly, their offering may be hard to beat for the price: $300 per year for a premium account with 4 concurrent requests ($25/month paid yearly).

That plan seems like a great plan for a single developer who regularly uses high volumes of inference tokens for solo project work. Here's an explanation from the Featherless blog:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

The offer models from:

DeepSeek 4 Qwen 3 Llama 3.1 Mistral Gemma 3 Kimi K2 GPT OSS

Their 'scale' plan offers 8 concurrent requests for $75 per month, and they can build custom plans for production projects which required greater concurrent usage.

Featherless is an interesting LLM API provider. They offer truly unlimited token usage on open source models, for a low yearly fee. If you don't use man tokens, a pay per token plan may end up being cheaper, but if you use a ton of tokens, their offering may be hard to beat for the price:

https://featherless.ai/blog/llm-api-pricing-comparison-2026-complete-guide-inference-costs

Cline-pass is another provider of open source model inference. Even though it's designed for use with Cline, you can use it with other agents:

https://cline.bot/cline-pass