取得 openrouter 上面 所有LLM模型列表

資料來源: https://chatgpt.com/share/6a0feeca-2fa8-8322-ae07-f5c05f13859c

所有模型列表: https://openrouter.ai/api/v1/models

比對實際檔案: https://github.com/jash-git/Hermes-Agent-Taiwan-Stock-Day-Trading-Team/blob/main/%E5%AF%A6%E6%B8%AC%E5%82%99%E4%BB%BD/profiles/dt_orchestrator/config.yaml

所以在Hermes-Agent的config.yaml紀錄的資訊和軟體內的列表(自行輸入模型名) 都是列表內的id (下面是一段完整的模型資訊 從模型列表取得)

		{
			"id": "nvidia/nemotron-3-super-120b-a12b:free",
			"canonical_slug": "nvidia/nemotron-3-super-120b-a12b-20230311",
			"hugging_face_id": "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8",
			"name": "NVIDIA: Nemotron 3 Super (free)",
			"created": 1773245239,
			"description": "NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...",
			"context_length": 1000000,
			"architecture": {
				"modality": "text->text",
				"input_modalities": [
					"text"
				],
				"output_modalities": [
					"text"
				],
				"tokenizer": "Other",
				"instruct_type": null
			},
			"pricing": {
				"prompt": "0",
				"completion": "0"
			},
			"top_provider": {
				"context_length": 262144,
				"max_completion_tokens": 262144,
				"is_moderated": false
			},
			"per_request_limits": null,
			"supported_parameters": [
				"include_reasoning",
				"max_tokens",
				"reasoning",
				"response_format",
				"seed",
				"structured_outputs",
				"temperature",
				"tool_choice",
				"tools",
				"top_p"
			],
			"default_parameters": {
				"temperature": 1,
				"top_p": 0.95,
				"top_k": null,
				"frequency_penalty": null,
				"presence_penalty": null,
				"repetition_penalty": null
			},
			"supported_voices": null,
			"knowledge_cutoff": null,
			"expiration_date": null,
			"links": {
				"details": "/api/v1/models/nvidia/nemotron-3-super-120b-a12b-20230311/endpoints"
			}
		}

從上面資訊知道 可以透過搜尋『 :free” 』就可以知道 有多少模型可以白嫖 (結至2026/05/22 14:21 總共有24個模型)

			"id": "baidu/cobuddy:free",
			"id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
			"id": "poolside/laguna-xs.2:free",
			"id": "poolside/laguna-m.1:free",
			"id": "deepseek/deepseek-v4-flash:free",
			"id": "google/gemma-4-26b-a4b-it:free",
			"id": "google/gemma-4-31b-it:free",
			"id": "arcee-ai/trinity-large-thinking:free",
			"id": "nvidia/nemotron-3-super-120b-a12b:free",
			"id": "minimax/minimax-m2.5:free",
			"id": "liquid/lfm-2.5-1.2b-thinking:free",
			"id": "liquid/lfm-2.5-1.2b-instruct:free",
			"id": "nvidia/nemotron-3-nano-30b-a3b:free",
			"id": "nvidia/nemotron-nano-12b-v2-vl:free",
			"id": "qwen/qwen3-next-80b-a3b-instruct:free",
			"id": "nvidia/nemotron-nano-9b-v2:free",
			"id": "openai/gpt-oss-120b:free",
			"id": "openai/gpt-oss-20b:free",
			"id": "z-ai/glm-4.5-air:free",
			"id": "qwen/qwen3-coder:free",
			"id": "cognitivecomputations/dolphin-mistral-24b-venice-edition:free",
			"id": "meta-llama/llama-3.3-70b-instruct:free",
			"id": "meta-llama/llama-3.2-3b-instruct:free",
			"id": "nousresearch/hermes-3-llama-3.1-405b:free",