Mistral Large 4 now available on AI Gateway
Mistral Large 4, an open-weight multimodal model supporting text and image understanding, is now accessible through AI Gateway with a single API key. You can use it via OpenAI-compatible Chat Completions, Responses, or Anthropic Messages APIs, or in coding agents without needing a separate Mistral account.
is now available on AI Gateway. The open-weight, natively multimodal model combines reasoning with text and image understanding. It is useful for cyber defense, manufacturing, and finance workflows.Mistral Large 4
You can access the model through AI Gateway with one API key, without creating a separate Mistral account.
Use Mistral Large 4 ( ) with the , , , or . You can also select it in a connected to AI Gateway.mistral/mistral-large-4AI SDKOpenAI-compatible Chat Completions APIResponses APIAnthropic Messages APIcoding agent
For coding agents, run and select in your agent's model settings.npx vercel ai-gateway setupmistral/mistral-large-4
Try Mistral Large 4 in the , or explore the .model playgroundmodel catalog
AI Gateway provides one API for calling models, tracking usage and cost, and configuring routing, retries, and failover. You can use an or .AI Gateway API keybring your own provider key
Source: original entry ↗
More from Vercel
Follow Vercel to get its new changes in your feed and email digest.
Muse Wonder now available on AI Gateway
Meta's Muse Wonder model is now accessible through Vercel's AI Gateway, supporting coding tasks, multi-step agent workflows, and computer use with a 1M-token context window. Users can access the model via a single API key without creating a separate Meta account and use it for text, image, PDF processing, tool calling, and structured outputs.
Agents can now buy domains with the Vercel CLI
Vercel CLI now enables agents to discover, check availability, and initiate domain purchases through structured commands, with purchase confirmation remaining under user control via interactive terminal or dashboard approval.
New Pro teams default to 30-day deployment retention
Pro teams now default to a 30-day deployment retention period to balance keeping recent history available while reducing storage costs. You can configure a longer retention period in team settings if needed.