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Jun Siang Cheah committed
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@@ -23,16 +23,20 @@ This lists various services that provide free access or credits towards API-base
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</tr>
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</thead>
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<tbody>
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<tr><td rowspan="43"><a href="https://openrouter.ai" target="_blank">OpenRouter</a></td><td rowspan="43">20 requests/minute<br>200 requests/day</td><td>DeepHermes 3 Llama 3 8B Preview</td><td></td></tr>
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<tr><td rowspan="51"><a href="https://openrouter.ai" target="_blank">OpenRouter</a></td><td rowspan="51">20 requests/minute<br>200 requests/day</td><td>Bytedance UI Tars 72B</td><td></td></tr>
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<tr><td>DeepHermes 3 Llama 3 8B Preview</td><td></td></tr>
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<tr><td>DeepSeek R1</td><td></td></tr>
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<tr><td>DeepSeek R1 Distill Llama 70B</td><td></td></tr>
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<tr><td>DeepSeek R1 Distill Qwen 14B</td><td></td></tr>
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<tr><td>DeepSeek R1 Distill Qwen 32B</td><td></td></tr>
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<tr><td>DeepSeek R1 Zero</td><td></td></tr>
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<tr><td>DeepSeek V3</td><td></td></tr>
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<tr><td>DeepSeek V3 0324</td><td></td></tr>
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<tr><td>Dolphin 3.0 Mistral 24B</td><td></td></tr>
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<tr><td>Dolphin 3.0 R1 Mistral 24B</td><td></td></tr>
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<tr><td>Featherless Qwerky 72B</td><td></td></tr>
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<tr><td>Gemini 2.0 Flash Lite Preview 02-05</td><td></td></tr>
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<tr><td>Gemini 2.5 Pro Experimental 03-25</td><td></td></tr>
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<tr><td>Gemma 2 9B Instruct</td><td></td></tr>
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<tr><td>Gemma 3 12B Instruct</td><td></td></tr>
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<tr><td>Gemma 3 1B Instruct</td><td></td></tr>
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@@ -48,6 +52,8 @@ This lists various services that provide free access or credits towards API-base
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<tr><td>Mistral 7B Instruct</td><td></td></tr>
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<tr><td>Mistral Nemo</td><td></td></tr>
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<tr><td>Mistral Small 24B Instruct 2501</td><td></td></tr>
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<tr><td>Mistral Small 3.1 24B Instruct</td><td></td></tr>
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<tr><td>Molmo 7B D</td><td></td></tr>
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<tr><td>Moonlight-16B-A3B-Instruct</td><td></td></tr>
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<tr><td>Mythomax L2 13B</td><td></td></tr>
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<tr><td>OlympicCoder 32B</td><td></td></tr>
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@@ -57,6 +63,9 @@ This lists various services that provide free access or credits towards API-base
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<tr><td>Phi-3 Mini 128k Instruct</td><td></td></tr>
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<tr><td>Qwen 2 7B Instruct</td><td></td></tr>
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<tr><td>Qwen 2.5 72B Instruct</td><td></td></tr>
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<tr><td>Qwen 2.5 VL 32B Instruct</td><td></td></tr>
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<tr><td>Qwen 2.5 VL 3B Instruct</td><td></td></tr>
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<tr><td>Qwen 2.5 VL 7B Instruct</td><td></td></tr>
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<tr><td>Qwen QwQ 32B</td><td></td></tr>
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<tr><td>Qwen QwQ 32B Preview</td><td></td></tr>
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<tr><td>Qwen2.5 Coder 32B Instruct</td><td></td></tr>
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@@ -65,10 +74,13 @@ This lists various services that provide free access or credits towards API-base
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<tr><td>Rogue Rose 103B v0.2</td><td></td></tr>
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<tr><td>Toppy M 7B</td><td></td></tr>
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<tr><td>Zephyr 7B Beta</td><td></td></tr>
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<tr><td>mistralai/mistral-small-3.1-24b-instruct:free</td><td></td></tr>
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<tr>
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<td rowspan="11"><a href="https://aistudio.google.com" target="_blank">Google AI Studio</a></td>
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<td rowspan="11">Data is used for training (when used outside of the UK/CH/EEA/EU).</td>
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<td>Gemini 2.5 Pro (Experimental)</td>
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<td>5,000,000 tokens/day<br>2,000,000 tokens/minute<br>50 requests/day<br>2 requests/minute</td>
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</tr>
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<tr>
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<td>Gemini 2.0 Flash</td>
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<td>1,000,000 tokens/minute<br>1,500 requests/day<br>15 requests/minute</td>
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</tr>
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@@ -80,10 +92,6 @@ This lists various services that provide free access or credits towards API-base
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<td>Gemini 2.0 Flash (Experimental)</td>
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<td>4,000,000 tokens/minute<br>1,500 requests/day<br>10 requests/minute</td>
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</tr>
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<tr>
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<td>Gemini 2.0 Pro (Experimental)</td>
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<td>5,000,000 tokens/day<br>2,000,000 tokens/minute<br>50 requests/day<br>2 requests/minute</td>
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</tr>
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<tr>
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<td>Gemini 1.5 Flash</td>
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<td>1,000,000 tokens/minute<br>1,500 requests/day<br>15 requests/minute</td>
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@@ -155,7 +163,7 @@ This lists various services that provide free access or credits towards API-base
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<tr><td>Qwen QwQ 32B</td><td>1,000 requests/day<br>6,000 tokens/minute</td></tr>
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<tr><td>Whisper Large v3</td><td>7,200 audio-seconds/minute<br>2,000 requests/day</td></tr>
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<tr><td>Whisper Large v3 Turbo</td><td>7,200 audio-seconds/minute<br>2,000 requests/day</td></tr>
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<tr><td rowspan="9"><a href="https://endpoints.ai.cloud.ovh.net/" target="_blank">OVH AI Endpoints (Free Beta)</a></td><td rowspan="9"></td><td>Codestral Mamba 7B v0.1</td><td>12 requests/minute</td></tr>
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<tr><td rowspan="10"><a href="https://endpoints.ai.cloud.ovh.net/" target="_blank">OVH AI Endpoints (Free Beta)</a></td><td rowspan="10"></td><td>Codestral Mamba 7B v0.1</td><td>12 requests/minute</td></tr>
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<tr><td>DeepSeek R1 Distill Llama 70B</td><td>12 requests/minute</td></tr>
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<tr><td>Llama 3.1 70B Instruct</td><td>12 requests/minute</td></tr>
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<tr><td>Llama 3.1 8B Instruct</td><td>12 requests/minute</td></tr>
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@@ -164,6 +172,7 @@ This lists various services that provide free access or credits towards API-base
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<tr><td>Mistral 7B Instruct v0.3</td><td>12 requests/minute</td></tr>
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<tr><td>Mistral Nemo 2407</td><td>12 requests/minute</td></tr>
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<tr><td>Mixtral 8x7B Instruct</td><td>12 requests/minute</td></tr>
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<tr><td>Qwen2.5 Coder 32B Instruct</td><td>12 requests/minute</td></tr>
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<tr>
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<td rowspan="3"><a href="https://together.ai">Together</a></td>
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<td rowspan="3"></td>
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@@ -365,7 +374,8 @@ This lists various services that provide free access or credits towards API-base
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<td>$0.5 for 1 year<br>$20 for 3 months for DeepSeek models with <a href="https://novita.ai/referral?invited_code=E5R0CA&ref=ytblmjc&utm_source=affiliate">referral code</a> + GitHub account connection</td>
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<td></td>
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<td>Various open models</td>
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</tr><tr><td rowspan="17"><a href="https://app.hyperbolic.xyz/" target="_blank">Hyperbolic</a></td><td rowspan="17">$1</td><td rowspan="17"></td><td>DeepSeek V3</td></tr>
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</tr><tr><td rowspan="18"><a href="https://app.hyperbolic.xyz/" target="_blank">Hyperbolic</a></td><td rowspan="18">$1</td><td rowspan="18"></td><td>DeepSeek V3</td></tr>
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<tr><td>DeepSeek V3 0324</td></tr>
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<tr><td>Hermes 3 Llama 3.1 70B</td></tr>
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<tr><td>Llama 3 70B Instruct</td></tr>
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<tr><td>Llama 3.1 405B Base</td></tr>
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@@ -382,7 +392,8 @@ This lists various services that provide free access or credits towards API-base
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<tr><td>Qwen2.5 Coder 32B Instruct</td></tr>
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<tr><td>Qwen2.5 VL 72B Instruct</td></tr>
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<tr><td>Qwen2.5 VL 7B Instruct</td></tr>
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<tr><td rowspan="19"><a href="https://cloud.sambanova.ai/" target="_blank">SambaNova Cloud</a></td><td rowspan="19">$5 for 3 months</td><td></td><td>Llama 3.1 405B</td></tr>
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<tr><td rowspan="21"><a href="https://cloud.sambanova.ai/" target="_blank">SambaNova Cloud</a></td><td rowspan="21">$5 for 3 months</td><td></td><td>E5-Mistral-7B-Instruct</td></tr>
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<tr><td></td><td>Llama 3.1 405B</td></tr>
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<tr><td></td><td>Llama 3.1 70B</td></tr>
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<tr><td></td><td>Llama 3.1 8B</td></tr>
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<tr><td></td><td>Llama 3.2 11B Vision</td></tr>
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@@ -399,6 +410,7 @@ This lists various services that provide free access or credits towards API-base
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<tr><td></td><td>allenai/Llama-3.1-Tulu-3-405B</td></tr>
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<tr><td></td><td>deepseek-ai/DeepSeek-R1</td></tr>
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<tr><td></td><td>deepseek-ai/DeepSeek-R1-Distill-Llama-70B</td></tr>
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<tr><td></td><td>deepseek-ai/DeepSeek-V3-0324</td></tr>
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<tr><td></td><td>tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.3</td></tr>
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<tr><td></td><td>tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3</td></tr>
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<tr><td rowspan="10"><a href="https://console.scaleway.com/generative-api/models" target="_blank">Scaleway Generative APIs</a></td><td rowspan="10">1,000,000 free tokens</td><td></td><td>BGE-Multilingual-Gemma2</td></tr>
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@@ -226,6 +226,16 @@ MODEL_TO_NAME_MAPPING = {
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"google/gemma-3-4b-it:free": "Gemma 3 4B Instruct",
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"open-r1/olympiccoder-32b:free": "OlympicCoder 32B",
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"open-r1/olympiccoder-7b:free": "OlympicCoder 7B",
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"featherless/qwerky-72b:free": "Featherless Qwerky 72B",
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"qwen/qwen2.5-vl-32b-instruct:free": "Qwen 2.5 VL 32B Instruct",
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"deepseek/deepseek-chat-v3-0324:free": "DeepSeek V3 0324",
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"qwen/qwen-2.5-vl-7b-instruct:free": "Qwen 2.5 VL 7B Instruct",
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"deepseek-ai/deepseek-v3-0324": "DeepSeek V3 0324",
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"allenai/molmo-7b-d:free": "Molmo 7B D",
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"qwen/qwen2.5-vl-3b-instruct:free": "Qwen 2.5 VL 3B Instruct",
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"google/gemini-2.5-pro-exp-03-25:free": "Gemini 2.5 Pro Experimental 03-25",
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"mistralai/mistral-small-3.1-24b-instruct:free": "Mistral Small 3.1 24B Instruct",
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"bytedance-research/ui-tars-72b:free": "Bytedance UI Tars 72B",
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}
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@@ -303,6 +313,8 @@ def get_groq_limits_for_stt_model(model_id, logger):
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def get_groq_limits_for_model(model_id, script_dir, logger):
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if "whisper" in model_id:
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return get_groq_limits_for_stt_model(model_id, logger)
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if "tts" in model_id:
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return None
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logger.info(f"Getting limits for chat model {model_id}...")
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r = requests.post(
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"https://api.groq.com/openai/v1/chat/completions",
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@@ -352,6 +364,8 @@ def fetch_groq_models(logger):
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for model, future in futures:
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limits = future.result()
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if limits is None:
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continue
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ret_models.append(
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{
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"id": model["id"],
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@@ -871,6 +885,10 @@ def main():
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table += f"""<tr>
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<td rowspan="11"><a href="https://aistudio.google.com" target="_blank">Google AI Studio</a></td>
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<td rowspan="11">Data is used for training (when used outside of the UK/CH/EEA/EU).</td>
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<td>Gemini 2.5 Pro (Experimental)</td>
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<td>{get_human_limits({"limits": gemini_models["gemini-2.0-pro-exp"]})}</td>
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</tr>
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<tr>
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<td>Gemini 2.0 Flash</td>
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<td>{get_human_limits({"limits": gemini_models["gemini-2.0-flash"]})}</td>
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</tr>
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@@ -882,10 +900,6 @@ def main():
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<td>Gemini 2.0 Flash (Experimental)</td>
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<td>{get_human_limits({"limits": gemini_models["gemini-2.0-flash-exp"]})}</td>
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</tr>
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<tr>
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<td>Gemini 2.0 Pro (Experimental)</td>
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<td>{get_human_limits({"limits": gemini_models["gemini-2.0-pro-exp"]})}</td>
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</tr>
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<tr>
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<td>Gemini 1.5 Flash</td>
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<td>{get_human_limits({"limits": gemini_models["gemini-1.5-flash"]})}</td>
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