{"object":"list","data":[{"id":"qwen3-235b","object":"model","kind":"chat","created":1794513424,"owned_by":"Qwen","label":"Qwen3 235B (instruct)","label_fr":"Qwen3 235B (instruct)","provider":"scaleway","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"gpai","systemic_risk":false,"model_card_url":"https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507","training_docs_url":null,"data_retention":"no_storage_except_errors","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":false,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":250000,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":1.26,"output_per_million":3.78}},{"id":"qwen3.5-397b","object":"model","kind":"chat","created":1794513424,"owned_by":"Qwen","label":"Qwen3.5 397B (multimodal)","label_fr":"Qwen3.5 397B (multimodal)","provider":"scaleway","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/Qwen/Qwen3.5-397B-A17B","training_docs_url":null,"data_retention":"no_storage_except_errors","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":true,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":250000,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":1.008,"output_per_million":6.048}},{"id":"glm-5.2","object":"model","kind":"chat","created":1794513424,"owned_by":"Zhipu / Z.ai","label":"GLM-5.2 (Zhipu/Z.ai)","label_fr":"GLM-5.2 (Zhipu/Z.ai)","provider":"scaleway","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"MIT","license_restricted":false,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/zai-org/GLM-5.2","training_docs_url":"https://arxiv.org/abs/2602.15763","data_retention":"no_storage_except_errors","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":true,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":256000,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":3.024,"output_per_million":9.24},"note":"Reasoning model — thinks before answering. 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Answers directly by default; send reasoning_effort (any value but \"none\") to turn on thinking, returned in reasoning_content and billed as output. As a preview model, it falls under § 4.3 of Mistral's commercial terms: Mistral may use the data and outputs to train its models, and opt-outs, zero data retention included, do not apply.","note_fr":"Preview publique de Mistral : poids ouverts annoncés pour fin octobre 2026. Répond directement par défaut ; envoyez reasoning_effort (toute valeur sauf « none ») pour activer la réflexion, renvoyée dans reasoning_content et facturée en sortie. Modèle en préversion, il relève du § 4.3 des conditions commerciales de Mistral : Mistral peut utiliser données et sorties pour entraîner ses modèles, et les oppositions, rétention zéro comprise, ne s'y appliquent pas."},{"id":"apertus-v1.5-70b","object":"model","kind":"chat","created":1794513424,"owned_by":"Swiss AI Initiative (EPFL, ETH Zurich, CSCS)","label":"Apertus v1.5 70B (Swiss open model)","label_fr":"Apertus v1.5 70B (modèle ouvert suisse)","provider":"infomaniak","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/swiss-ai/Apertus-v1.5-70B","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":false,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":100016,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":1.2936,"output_per_million":4.62},"note":"Served by Infomaniak in Switzerland (outside the EU, under an EU adequacy decision). Context window of 100K tokens, prompt and completion combined. With tool_choice \"auto\" it often answers without calling the tool: send \"required\" or a named function. Listed as beta by the host.","note_fr":"Servi par Infomaniak en Suisse (hors UE, sous décision d'adéquation de l'UE). Fenêtre de 100K tokens, prompt et réponse compris. En tool_choice « auto », il répond souvent sans appeler l'outil : envoyez « required » ou une fonction nommée. Signalé en bêta par l'hébergeur."},{"id":"kimi-k3","object":"model","kind":"chat","created":1794513424,"owned_by":"Moonshot AI","label":"Kimi K3 (2.8T parameters, 1M context)","label_fr":"Kimi K3 (2,8T paramètres, 1M contexte)","provider":"modal","status":"live","sovereign":false,"providers":[{"provider":"modal","sovereign":false,"priority":1},{"provider":"openrouter","sovereign":false,"priority":10}],"compliance":{"open_weights":true,"license":"Kimi K3 License","license_restricted":true,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/moonshotai/Kimi-K3","training_docs_url":null,"data_retention":"provider_policy","eu_data_residency":false},"verified":{"license":true,"provenance":true,"security":false,"gdpr":false,"benchmarks":false,"api":true},"tool_calling":true,"context_length":1048576,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":4.536,"output_per_million":22.68,"cached_input_per_million":0.4536},"note":"Reasoning model. First call after a quiet period can take a few minutes to warm up — then it responds in seconds.","note_fr":"Modèle de raisonnement. Le premier appel après une période d'inactivité peut prendre quelques minutes de préchauffage — ensuite il répond en quelques secondes."},{"id":"kimi-k3.1-pro","object":"model","kind":"chat","created":1794513424,"owned_by":"Moonshot AI","label":"Kimi K3.1 Pro (2.8T parameters, 1M context)","label_fr":"Kimi K3.1 Pro (2,8T paramètres, 1M contexte)","provider":"verda","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Kimi K3.1-Pro License","license_restricted":true,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/moonshotai/Kimi-K3.1-Pro","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":true,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":1048576,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":3.024,"output_per_million":15.12,"cached_input_per_million":0.3024},"note":"Reasoning model, at max effort by default. Omit max_tokens or allow plenty of headroom, or set reasoning_effort to low or none for quick answers.","note_fr":"Modèle de raisonnement, à l'effort max par défaut. 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Omit max_tokens or allow at least ~1,000.","note_fr":"Modèle de raisonnement — réfléchit avant de répondre. Omettez max_tokens ou prévoyez au moins ~1 000."},{"id":"muse-spark-1.2","object":"model","kind":"chat","created":1794513424,"owned_by":"Meta","label":"Muse Spark 1.2 (1M context)","label_fr":"Muse Spark 1.2 (1M contexte)","provider":"openrouter","status":"live","sovereign":false,"compliance":{"open_weights":false,"license":"Proprietary (API only)","license_restricted":true,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://dev.meta.ai/models/muse-spark-1-2","training_docs_url":null,"data_retention":"provider_policy","eu_data_residency":false},"verified":{"license":false,"provenance":false,"security":true,"gdpr":false,"benchmarks":true,"api":true},"tool_calling":true,"context_length":1000000,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":2.0496,"output_per_million":6.9552,"cached_input_per_million":0.252},"note":"Reasoning model — thinks before answering. Omit max_tokens or allow at least ~1,000.","note_fr":"Modèle de raisonnement — réfléchit avant de répondre. Omettez max_tokens ou prévoyez au moins ~1 000."},{"id":"glm-5.3-flash","object":"model","kind":"chat","created":1794513424,"owned_by":"Zhipu / Z.ai","label":"GLM-5.3 Flash (Zhipu/Z.ai)","label_fr":"GLM-5.3 Flash (Zhipu/Z.ai)","provider":"modal","status":"live","sovereign":false,"providers":[{"provider":"modal","sovereign":false,"priority":1},{"provider":"openrouter","sovereign":false,"priority":10}],"compliance":{"open_weights":true,"license":"MIT","license_restricted":false,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/zai-org/GLM-5.3-Flash","training_docs_url":"https://arxiv.org/abs/2602.15763","data_retention":"provider_policy","eu_data_residency":false},"tool_calling":true,"context_length":1048576,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.6888,"output_per_million":2.268},"note":"Reasoning model — thinks before answering. 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Omit max_tokens or allow at least ~1,000.","note_fr":"Modèle de raisonnement — réfléchit avant de répondre. 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Omit max_tokens or allow at least ~1,000.","note_fr":"Modèle de raisonnement — réfléchit avant de répondre. Omettez max_tokens ou prévoyez au moins ~1 000."},{"id":"gemma-3-27b","object":"model","kind":"chat","created":1794513424,"owned_by":"Google","label":"Gemma 3 27B (Google)","label_fr":"Gemma 3 27B (Google)","provider":"openrouter","status":"live","sovereign":false,"compliance":{"open_weights":true,"license":"Gemma Terms of Use","license_restricted":true,"gpai_status":"gpai","systemic_risk":false,"model_card_url":"https://huggingface.co/google/gemma-3-27b-it","training_docs_url":null,"data_retention":"provider_policy","eu_data_residency":false},"verified":{"license":true,"provenance":true,"security":false,"gdpr":false,"benchmarks":true,"api":true},"tool_calling":true,"context_length":131072,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.1344,"output_per_million":0.7392}},{"id":"deepseek-v4.1-flash","object":"model","kind":"chat","created":1794513424,"owned_by":"DeepSeek","label":"DeepSeek V4.1 Flash (552B MoE, 1M context)","label_fr":"DeepSeek V4.1 Flash (552B MoE, 1M contexte)","provider":"aki","status":"live","sovereign":true,"providers":[{"provider":"aki","sovereign":true,"priority":1},{"provider":"scaleway","sovereign":true,"priority":2},{"provider":"modal","sovereign":false,"priority":5,"requires_opt_in":true},{"provider":"openrouter","sovereign":false,"priority":10,"requires_opt_in":true}],"compliance":{"open_weights":true,"license":"MIT","license_restricted":false,"gpai_status":"gpai","systemic_risk":false,"model_card_url":"https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017","training_docs_url":null,"data_retention":"no_storage_except_errors","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":true,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":1048576,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":1.008,"output_per_million":3.024,"cached_input_per_million":0.2016},"note":"Multimodal reasoning model (text + images). Omit max_tokens or allow plenty of headroom for the chain of thought.","note_fr":"Modèle multimodal de raisonnement (texte + images). Omettez max_tokens ou prévoyez une large marge pour le raisonnement."},{"id":"gemma-4-26b","object":"model","kind":"chat","created":1794513424,"owned_by":"Google","label":"Gemma 4 26B (A4B MoE)","label_fr":"Gemma 4 26B (MoE A4B)","provider":"aki","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/google/gemma-4-26B-A4B-it","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":true,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":256000,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.168,"output_per_million":0.84}},{"id":"kolibri-1","object":"model","kind":"chat","created":1794513424,"owned_by":"Aleph Alpha","label":"Kolibri 1 (Aleph Alpha)","label_fr":"Kolibri 1 (Aleph Alpha)","provider":"aki","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"gpai","systemic_risk":false,"model_card_url":"https://huggingface.co/Aleph-Alpha/Kolibri-1","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":true,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":262144,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.252,"output_per_million":0.924,"cached_input_per_million":0.126}},{"id":"mistral-small-4-119b","object":"model","kind":"chat","created":1794513424,"owned_by":"Mistral AI (France)","label":"Mistral Small 4 119B","label_fr":"Mistral Small 4 119B","provider":"mistral","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"gpai","systemic_risk":null,"model_card_url":"https://huggingface.co/mistralai/Mistral-Small-4-119B-2603","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"verified":{"license":true,"provenance":true,"security":false,"gdpr":true,"benchmarks":true,"api":true},"tool_calling":true,"context_length":262144,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.2772,"output_per_million":1.1088},"note":"Hybrid model from Mistral: answers directly by default; send reasoning_effort (any value but \"none\") to turn on thinking, returned in reasoning_content.","note_fr":"Modèle hybride de Mistral : répond directement par défaut ; envoyez reasoning_effort (toute valeur sauf « none ») pour activer la réflexion, rendue dans reasoning_content."},{"id":"bge-multilingual-gemma2","object":"model","kind":"embedding","created":1794513424,"owned_by":"BAAI","label":"BGE Multilingual Gemma2","label_fr":"BGE Multilingual Gemma2","provider":"scaleway","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Gemma Terms of Use","license_restricted":true,"gpai_status":"none","systemic_risk":false,"model_card_url":"https://huggingface.co/BAAI/bge-multilingual-gemma2","training_docs_url":null,"data_retention":"no_storage_except_errors","eu_data_residency":true},"dimensions":3584,"context_length":8192,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.168}},{"id":"qwen3-embedding-8b","object":"model","kind":"embedding","created":1794513424,"owned_by":"Qwen","label":"Qwen3 Embedding 8B","label_fr":"Qwen3 Embedding 8B","provider":"scaleway","status":"live","sovereign":true,"compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"none","systemic_risk":false,"model_card_url":"https://huggingface.co/Qwen/Qwen3-Embedding-8B","training_docs_url":null,"data_retention":"no_storage_except_errors","eu_data_residency":true},"dimensions":4096,"context_length":40960,"pricing":{"currency":"EUR","vat_included":true,"input_per_million":0.168}},{"id":"flux-schnell","object":"model","kind":"image","created":1794513424,"owned_by":"Black Forest Labs (Germany)","label":"FLUX.1 [schnell] (text to image)","label_fr":"FLUX.1 [schnell] (texte vers image)","provider":"infomaniak","status":"live","sovereign":true,"endpoint":"/v1/images/generations","compliance":{"open_weights":true,"license":"Apache-2.0","license_restricted":false,"gpai_status":"none","systemic_risk":false,"model_card_url":"https://huggingface.co/black-forest-labs/FLUX.1-schnell","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"sizes":["1024x1024","1792x1024","1024x1792"],"max_images":5,"max_prompt_chars":400,"pricing":{"currency":"EUR","vat_included":true,"per_second":0.00924},"note":"Served by Infomaniak in Switzerland. Sizes 1024x1024, 1792x1024 or 1024x1792; up to 5 images per call; JPEG returned as b64_json. Billed per second of generation (about 2 s per 1024x1024 image).","note_fr":"Servi par Infomaniak en Suisse. Tailles 1024x1024, 1792x1024 ou 1024x1792 ; jusqu'à 5 images par appel ; JPEG renvoyé en b64_json. Facturé à la seconde de génération (environ 2 s par image 1024x1024)."},{"id":"photomaker-v2","object":"model","kind":"image","created":1794513424,"owned_by":"TencentARC","label":"PhotoMaker V2 (personalised portraits)","label_fr":"PhotoMaker V2 (portraits personnalisés)","provider":"infomaniak","status":"live","sovereign":true,"endpoint":"/v1/images/edits","compliance":{"open_weights":true,"license":"Apache-2.0 (SDXL base: CreativeML OpenRAIL++-M)","license_restricted":true,"gpai_status":"none","systemic_risk":false,"model_card_url":"https://huggingface.co/TencentARC/PhotoMaker-V2","training_docs_url":null,"data_retention":"zero_prompt_retention","eu_data_residency":true},"sizes":["1024x1024","1792x1024","1024x1792"],"max_images":5,"max_prompt_chars":350,"pricing":{"currency":"EUR","vat_included":true,"per_second":0.00924},"note":"Served by Infomaniak in Switzerland. Send 1 to 4 face photos (JPEG or PNG) as image[] and a prompt containing the trigger word \"img\" after the subject (e.g. \"a woman img as an astronaut\"). Face photos are personal data: only send photos you are allowed to process. Billed per second of generation (about 5 s per image).","note_fr":"Servi par Infomaniak en Suisse. Envoyez 1 à 4 photos du visage (JPEG ou PNG) dans image[] et un prompt contenant le mot déclencheur « img » après le sujet (ex. « a woman img as an astronaut »). Une photo de visage est une donnée personnelle : n'envoyez que des photos que vous avez le droit de traiter. Facturé à la seconde de génération (environ 5 s par image)."}]}