Available models

We currently offer the following models, which may change or expand over time. Each is described along with model-specific parameters.

Model Name	Type	Modalities	Context (Tokens)	License
gpt-oss-120b	Chat + reasoning	Text, tool-calling	131,072	Apache 2.0
Ministral-3-14B-Instruct-2512	Chat + vision	Text, image, tool-calling	262,144	Apache 2.0
Devstral-Small-2-24B-Instruct-2512	Chat	Text, image, tool-calling	262,144	Apache 2.0
Qwen3-Embedding-8B	Embedding	Text to vector	32,768	Apache 2.0
whisper-large-v3-turbo	Speech-to-Text	Audio to text	N/A (audio-based)	MIT

Picking models

• Start with Ministral-3-14B-Instruct-2512 for broad, scalable, cost-conscious chat and basic multimodal (text + image) workflows.
• Upgrade to Devstral-Small-2-24B-Instruct-2512 for demanding, nuanced, business-critical tasks where top answer quality, agentic workflows, and image understanding are vital.
• Use gpt-oss-120b for complex text-centric workloads and advanced automations when precision and vast knowledge are required.
• Choose Qwen3-Embedding-8B for all use cases involving search, recommendation, clustering, or knowledge graph building.
• Use whisper-large-v3-turbo for any audio transcription or voice-command needs.

tip

For optimal ROI, start with the smallest model that meets your quality bar—then upgrade only where you need additional depth or reliability! "Small" here refers to the number of parameters a model has, which often correlates with cost and compute requirements. The "context size" of a model (measured in tokens) is also a crucial factor to consider, as it determines how much information the model can process at once, which can also impact performance and suitability for certain tasks. So when it comes to model selection, it's not just about picking the most powerful model, but rather the one that best fits your specific use case.

Please have a look at the following pages to gather more information about a specific model:

📄️Ministral-3-14B-Instruct-2512

Detailled information on Ministral-3-14B-Instruct-2512

📄️Devstral-Small-2-24B-Instruct-2512

Detailled information on Devstral-Small-2-24B-Instruct-2512

📄️Qwen3-Embedding-8B

Detailled information on Qwen3-Embedding-8B

📄️gpt-oss-120b

Detailled information on gpt-oss-120b

📄️Whisper-Large-V3-Turbo

Detailed information about Whisper-Large-V3-Turbo