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https://github.com/tiennm99/cheahjs-free-llm-api-resources.git
synced 2026-10-15 18:15:45 +00:00
remove chutes
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@@ -24,7 +24,6 @@ This lists various services that provide free access or credits towards API-base
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- [Together (Free)](#together-free)
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- [Cohere](#cohere)
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- [GitHub Models](#github-models)
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- [Chutes](#chutes)
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- [Cloudflare Workers AI](#cloudflare-workers-ai)
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- [Google Cloud Vertex AI](#google-cloud-vertex-ai)
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- [Providers with trial credits](#providers-with-trial-credits)
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@@ -302,15 +301,6 @@ Extremely restrictive input/output token limits.
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- Phi-4-mini-reasoning
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- Phi-4-multimodal-instruct
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### [Chutes](https://chutes.ai/)
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Distributed, decentralized crypto-based compute.
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Data is sent to individual hosts.
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**Limits:** [200 requests/day](https://x.com/rayon_labs/status/1938176081976037505). [**Requires a one time $5 top up to access the free tier.**](https://x.com/rayon_labs/status/1940416866104545608)
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- Various open models
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### [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai)
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**Limits:** [10,000 neurons/day](https://developers.cloudflare.com/workers-ai/platform/pricing/#free-allocation)
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@@ -476,6 +466,8 @@ Very stringent payment verification for Google Cloud.
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- Qwen2.5 Coder 32B Instruct
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- Qwen2.5 VL 72B Instruct
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- Qwen2.5 VL 7B Instruct
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- qwen/qwen3-235b-a22b-instruct-2507-fp8
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- qwen/qwen3-coder-480b-a35b-instruct-fp8
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### [SambaNova Cloud](https://cloud.sambanova.ai/)
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@@ -625,7 +625,6 @@ def main():
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executor.submit(fetch_github_models, github_logger),
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executor.submit(fetch_samba_models, samba_logger),
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executor.submit(fetch_scaleway_models, scaleway_logger),
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executor.submit(fetch_chutes_models, chutes_logger),
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]
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(
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gemini_models,
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@@ -635,7 +634,6 @@ def main():
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github_models,
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samba_models,
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scaleway_models,
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chutes_models,
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) = [f.result() for f in futures]
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# Fetch groq models after others complete
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@@ -648,7 +646,6 @@ def main():
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github_models = fetch_github_models(github_logger)
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samba_models = fetch_samba_models(samba_logger)
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scaleway_models = fetch_scaleway_models(scaleway_logger)
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chutes_models = fetch_chutes_models(chutes_logger)
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groq_models = fetch_groq_models(groq_logger)
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# Initialize markdown string for free providers
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@@ -927,17 +924,6 @@ def main():
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model_list_markdown += f"- {model['name']}\n"
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model_list_markdown += "\n"
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# --- Chutes ---
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model_list_markdown += "### [Chutes](https://chutes.ai/)\n\n"
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model_list_markdown += "Distributed, decentralized crypto-based compute.\n"
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model_list_markdown += "Data is sent to individual hosts.\n\n"
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model_list_markdown += "**Limits:** [200 requests/day](https://x.com/rayon_labs/status/1938176081976037505). [**Requires a one time $5 top up to access the free tier.**](https://x.com/rayon_labs/status/1940416866104545608)\n\n"
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model_list_markdown += "- Various open models\n"
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if chutes_models:
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for model in chutes_models:
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model_list_markdown += f"- {model['name']}\n"
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model_list_markdown += "\n"
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# --- Cloudflare Workers AI ---
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model_list_markdown += (
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"### [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai)\n\n"
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