tiennm99/cheahjs-free-llm-api-resources
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Refresh stale provider data and fix Vertex AI table leak

Browse Source 
Verified every provider against its live API/docs. Updates the hardcoded
sections that nothing refreshes automatically:

- Cerebras: free tier is now gpt-oss-120b, zai-glm-4.7 and gemma-4-31b at
  5 RPM / 30K TPM / 1M TPH / 1M TPD (was 30 RPM / 60K TPM / 14,400 RPD,
  and still listed Llama 3.1 8B, which is gone).
- OpenCode Zen: corrected two model names and added the four free models
  that were missing.
- Google AI Studio: Gemini 3.5 Flash was reading gemini-3-flash's quota.
  Added Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, Gemma 4 31B and
  Gemma 4 26B A4B, which all have free-tier quota.
- Mistral (La Plateforme): limits are set per-model and per-organization,
  not a flat 1 RPS / 500K TPM. Verified against the admin console.
- Modal: the $5/month tier no longer exists; Starter is $30/month.
- Alibaba Model Studio: note the 90-day validity and Singapore-only endpoint.
- Scaleway: free tier also includes 60 minutes of audio transcription.
- Vercel AI Gateway: note that the free tier covers a subset of models.

Also fixes the dead Vertex AI block emitting an orphan </tbody></table>
into the README by guarding the closing tag with the same condition as
the opening one.
This commit is contained in:
Jun Siang Cheah committed 2026-07-25 16:28:35 +01:00
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commit 98cc1ffc61
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+61 -35
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README.md
+21 -17
View File
@@ -50,13 +50,10 @@ This lists various services that provide free access or credits towards API-base
Models share a common quota.
- [Hermes 3 Llama 3.1 405B](https://openrouter.ai/nousresearch/hermes-3-llama-3.1-405b:free)
- [Llama 3.2 3B Instruct](https://openrouter.ai/meta-llama/llama-3.2-3b-instruct:free)
- [Llama 3.3 70B Instruct](https://openrouter.ai/meta-llama/llama-3.3-70b-instruct:free)
- [cognitivecomputations/dolphin-mistral-24b-venice-edition:free](https://openrouter.ai/cognitivecomputations/dolphin-mistral-24b-venice-edition:free)
- [cohere/north-mini-code:free](https://openrouter.ai/cohere/north-mini-code:free)
- [google/gemma-4-26b-a4b-it:free](https://openrouter.ai/google/gemma-4-26b-a4b-it:free)
- [google/gemma-4-31b-it:free](https://openrouter.ai/google/gemma-4-31b-it:free)
- [inclusionai/ling-3.0-flash:free](https://openrouter.ai/inclusionai/ling-3.0-flash:free)
- [nvidia/nemotron-3-nano-30b-a3b:free](https://openrouter.ai/nvidia/nemotron-3-nano-30b-a3b:free)
- [nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free](https://openrouter.ai/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free)
- [nvidia/nemotron-3-super-120b-a12b:free](https://openrouter.ai/nvidia/nemotron-3-super-120b-a12b:free)
@@ -66,18 +63,18 @@ Models share a common quota.
- [nvidia/nemotron-nano-9b-v2:free](https://openrouter.ai/nvidia/nemotron-nano-9b-v2:free)
- [openai/gpt-oss-20b:free](https://openrouter.ai/openai/gpt-oss-20b:free)
- [poolside/laguna-m.1:free](https://openrouter.ai/poolside/laguna-m.1:free)
- [poolside/laguna-s-2.1:free](https://openrouter.ai/poolside/laguna-s-2.1:free)
- [poolside/laguna-xs-2.1:free](https://openrouter.ai/poolside/laguna-xs-2.1:free)
- [qwen/qwen3-coder:free](https://openrouter.ai/qwen/qwen3-coder:free)
- [qwen/qwen3-next-80b-a3b-instruct:free](https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct:free)
- [tencent/hy3:free](https://openrouter.ai/tencent/hy3:free)
### [Google AI Studio](https://aistudio.google.com)
Data is used for training when used outside of the UK/CH/EEA/EU.
<table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>
<tr><td>Gemini 3.6 Flash</td><td>250,000 tokens/minute<br>20 requests/day<br>5 requests/minute</td></tr>
<tr><td>Gemini 3.5 Flash</td><td>250,000 tokens/minute<br>20 requests/day<br>5 requests/minute</td></tr>
<tr><td>Gemini 3 Flash</td><td>250,000 tokens/minute<br>20 requests/day<br>5 requests/minute</td></tr>
<tr><td>Gemini 3.5 Flash-Lite</td><td>250,000 tokens/minute<br>500 requests/day<br>15 requests/minute</td></tr>
<tr><td>Gemini 3.1 Flash-Lite</td><td>250,000 tokens/minute<br>500 requests/day<br>15 requests/minute</td></tr>
<tr><td>Gemini 2.5 Flash</td><td>250,000 tokens/minute<br>20 requests/day<br>5 requests/minute</td></tr>
<tr><td>Gemini 2.5 Flash-Lite</td><td>250,000 tokens/minute<br>20 requests/day<br>10 requests/minute</td></tr>
@@ -85,6 +82,8 @@ Data is used for training when used outside of the UK/CH/EEA/EU.
<tr><td>Gemini 2.5 Flash TTS</td><td>10,000 tokens/minute<br>10 requests/day<br>3 requests/minute</td></tr>
<tr><td>Gemini Robotics-ER 1.6</td><td>250,000 tokens/minute<br>20 requests/day<br>5 requests/minute</td></tr>
<tr><td>Gemini Robotics-ER 1.5</td><td>250,000 tokens/minute<br>20 requests/day<br>10 requests/minute</td></tr>
<tr><td>Gemma 4 31B Instruct</td><td>16,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
<tr><td>Gemma 4 26B A4B Instruct</td><td>16,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
<tr><td>Gemma 3 27B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
<tr><td>Gemma 3 12B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
<tr><td>Gemma 3 4B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
@@ -105,7 +104,7 @@ Models tend to be context window limited.
* Free tier (Experiment plan) requires opting into data training
* Requires phone number verification.
**Limits (per-model):** 1 request/second, 500,000 tokens/minute, 1,000,000,000 tokens/month
**Limits:** Set per-model and per-organization — check [your limits page](https://admin.mistral.ai/plateforme/limits). As of July 2026 a new free account sees anywhere from 25,000 to 20,000,000 tokens/minute and 0.03 to 12.5 requests/second depending on the model.
- [Open and Proprietary Mistral models](https://docs.mistral.ai/getting-started/models/models_overview/)
@@ -131,6 +130,8 @@ HuggingFace Serverless Inference limited to models smaller than 10GB. Some popul
Routes to various supported providers.
The free tier covers a subset of the model catalogue, with per-model rate limits.
**Limits:** [$5/month](https://vercel.com/docs/ai-gateway/pricing)
@@ -140,15 +141,20 @@ AI gateway with curated models.
Free models may use data for improvement.
- Big Pickle Stealth
- Nemotron 3 Super Free
- Big Pickle
- DeepSeek V4 Flash Free
- MiMo-V2.5 Free
- Laguna S 2.1 Free
- Ling-3.0-flash Free
- North Mini Code Free
- Nemotron 3 Ultra Free
### [Cerebras](https://cloud.cerebras.ai/)
<table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>
<tr><td>gpt-oss-120b</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
<tr><td>Llama 3.1 8B</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
<tr><td>gpt-oss-120b</td><td>5 requests/minute<br>30,000 tokens/minute<br>1,000,000 tokens/hour<br>1,000,000 tokens/day</td></tr>
<tr><td>zai-glm-4.7</td><td>5 requests/minute<br>30,000 tokens/minute<br>1,000,000 tokens/hour<br>1,000,000 tokens/day</td></tr>
<tr><td>gemma-4-31b</td><td>5 requests/minute<br>30,000 tokens/minute<br>1,000,000 tokens/hour<br>1,000,000 tokens/day</td></tr>
</tbody></table>
### [Groq](https://console.groq.com)
@@ -266,8 +272,6 @@ Extremely restrictive input/output token limits.
- Qwen 2.5 Coder 32B Instruct
- Qwen QwQ 32B
</tbody></table>
## Providers with trial credits
@@ -318,13 +322,13 @@ Extremely restrictive input/output token limits.
### [Alibaba Cloud (International) Model Studio](https://bailian.console.alibabacloud.com/)
**Credits:** 1 million tokens/model
**Credits:** 1 million tokens/model, valid for 90 days (Singapore endpoint only)
**Models:** [Various open and proprietary Qwen models](https://www.alibabacloud.com/en/product/modelstudio)
### [Modal](https://modal.com)
**Credits:** $5/month upon sign up, $30/month with payment method added
**Credits:** $30/month on the Starter plan
**Models:** Any supported model - pay by compute time
@@ -358,7 +362,7 @@ Extremely restrictive input/output token limits.
### [Scaleway Generative APIs](https://console.scaleway.com/generative-api/models)
**Credits:** 1,000,000 free tokens
**Credits:** 1,000,000 free tokens, plus 60 minutes of audio transcription
**Models:**
- BGE-Multilingual-Gemma2
src/pull_available_models.py
+40 -18
View File
@@ -721,9 +721,14 @@ def main():
gemini_text_models = [
{
"id": "gemini-3-5-flash",
"id": "gemini-3.6-flash",
"name": "Gemini 3.6 Flash",
"limits": gemini_models.get("gemini-3.6-flash", {}),
},
{
"id": "gemini-3.5-flash",
"name": "Gemini 3.5 Flash",
"limits": gemini_models.get("gemini-3-flash", {}),
"limits": gemini_models.get("gemini-3.5-flash", {}),
},
{
"id": "gemini-3-flash-preview",
@@ -731,7 +736,12 @@ def main():
"limits": gemini_models.get("gemini-3-flash", {}),
},
{
"id": "gemini-3.1-flash-lite-preview",
"id": "gemini-3.5-flash-lite",
"name": "Gemini 3.5 Flash-Lite",
"limits": gemini_models.get("gemini-3.5-flash-lite", {}),
},
{
"id": "gemini-3.1-flash-lite",
"name": "Gemini 3.1 Flash-Lite",
"limits": gemini_models.get("gemini-3.1-flash-lite", {}),
},
@@ -765,6 +775,16 @@ def main():
"name": "Gemini Robotics-ER 1.5",
"limits": gemini_models.get("gemini-robotics-er-1.5-preview", {}),
},
{
"id": "gemma-4-31b-it",
"name": "Gemma 4 31B Instruct",
"limits": gemini_models.get("gemma-4-31b", {}),
},
{
"id": "gemma-4-26b-a4b-it",
"name": "Gemma 4 26B A4B Instruct",
"limits": gemini_models.get("gemma-4-26b", {}),
},
{
"id": "gemma-3-27b-it",
"name": "Gemma 3 27B Instruct",
@@ -814,7 +834,7 @@ def main():
"* Free tier (Experiment plan) requires opting into data training\n"
)
model_list_markdown += "* Requires phone number verification.\n\n"
model_list_markdown += "**Limits (per-model):** 1 request/second, 500,000 tokens/minute, 1,000,000,000 tokens/month\n\n"
model_list_markdown += "**Limits:** Set per-model and per-organization — check [your limits page](https://admin.mistral.ai/plateforme/limits). As of July 2026 a new free account sees anywhere from 25,000 to 20,000,000 tokens/minute and 0.03 to 12.5 requests/second depending on the model.\n\n"
model_list_markdown += "- [Open and Proprietary Mistral models](https://docs.mistral.ai/getting-started/models/models_overview/)\n"
model_list_markdown += "\n"
@@ -839,6 +859,7 @@ def main():
# --- Vercel AI Gateway ---
model_list_markdown += "### [Vercel AI Gateway](https://vercel.com/docs/ai-gateway)\n\n"
model_list_markdown += "Routes to various supported providers.\n\n"
model_list_markdown += "The free tier covers a subset of the model catalogue, with per-model rate limits.\n\n"
model_list_markdown += "**Limits:** [$5/month](https://vercel.com/docs/ai-gateway/pricing)\n\n"
model_list_markdown += "\n"
@@ -846,23 +867,23 @@ def main():
model_list_markdown += "### [OpenCode Zen](https://opencode.ai/docs/zen/)\n\n"
model_list_markdown += "AI gateway with curated models.\n\n"
model_list_markdown += "Free models may use data for improvement.\n\n"
model_list_markdown += "- Big Pickle Stealth\n"
model_list_markdown += "- Nemotron 3 Super Free\n"
model_list_markdown += "- Big Pickle\n"
model_list_markdown += "- DeepSeek V4 Flash Free\n"
model_list_markdown += "- MiMo-V2.5 Free\n"
model_list_markdown += "- Laguna S 2.1 Free\n"
model_list_markdown += "- Ling-3.0-flash Free\n"
model_list_markdown += "- North Mini Code Free\n"
model_list_markdown += "- Nemotron 3 Ultra Free\n"
model_list_markdown += "\n"
# --- Cerebras ---
model_list_markdown += "### [Cerebras](https://cloud.cerebras.ai/)\n\n"
model_list_markdown += "<table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>\n"
cerebras_free_limits = "5 requests/minute<br>30,000 tokens/minute<br>1,000,000 tokens/hour<br>1,000,000 tokens/day"
cerebras_models = [
{
"name": "gpt-oss-120b",
"limits_text": "30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day"
},
{
"name": "Llama 3.1 8B",
"limits_text": "30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day"
},
{"name": "gpt-oss-120b", "limits_text": cerebras_free_limits},
{"name": "zai-glm-4.7", "limits_text": cerebras_free_limits},
{"name": "gemma-4-31b", "limits_text": cerebras_free_limits},
]
for model in cerebras_models:
model_list_markdown += (
@@ -947,7 +968,8 @@ def main():
limits_str = get_human_limits(model)
model_list_markdown += f'<tr><td><a href="https://console.cloud.google.com/vertex-ai/publishers/deepseek-ai/model-garden/{model['urlId']}" target="_blank">{model['name']}</a></td><td>{limits_str}<br>Free during preview</td></tr>\n'
model_list_markdown += "</tbody></table>\n\n"
if vertex_llama_models or vertex_gemini_models or vertex_deepseek_models:
model_list_markdown += "</tbody></table>\n\n"
# --- Trial Providers Section Generation ---
trial_list_markdown = ""
@@ -1006,14 +1028,14 @@ def main():
{
"name": "Alibaba Cloud (International) Model Studio",
"url": "https://bailian.console.alibabacloud.com/",
"credits": "1 million tokens/model",
"credits": "1 million tokens/model, valid for 90 days (Singapore endpoint only)",
"requirements": "",
"models_desc": "[Various open and proprietary Qwen models](https://www.alibabacloud.com/en/product/modelstudio)",
},
{
"name": "Modal",
"url": "https://modal.com",
"credits": "$5/month upon sign up, $30/month with payment method added",
"credits": "$30/month on the Starter plan",
"requirements": "",
"models_desc": "Any supported model - pay by compute time",
},
@@ -1054,7 +1076,7 @@ def main():
# --- Scaleway Generative APIs (Trial - Table) ---
if scaleway_models:
trial_list_markdown += "### [Scaleway Generative APIs](https://console.scaleway.com/generative-api/models)\n\n"
trial_list_markdown += "**Credits:** 1,000,000 free tokens\n\n"
trial_list_markdown += "**Credits:** 1,000,000 free tokens, plus 60 minutes of audio transcription\n\n"
trial_list_markdown += "**Models:**\n"
for model in scaleway_models:
trial_list_markdown += f"- {model['name']}\n"