Inkling vs Mistral Large 3

Choose Inkling if you want…

• ✓Higher intelligence (Artificial Analysis index 46)

Choose Mistral Large 3 if you want…

• ✓Lower price ($0.75 / 1M blended)

Inkling

Inkling is Thinking Machines Lab's first open-weights model, and on just4o.chat it runs through the Vercel AI Gateway under thinkingmachines/inkling. It is a multimodal MoE with 975B total parameters and 41B active, trained to reason over text, images, and audio in a shared space rather than bolting on separate encoders. Controllable thinking effort lets you trade latency for depth, function calling supports agentic workflows, and a 256k context window on the gateway is roomy enough for long multimodal sessions. It is a base-tier model on just4o.chat, billed at 4 base requests per send before length multipliers, at $1.00 per million input and $4.05 per million output tokens (cached input $0.17). Practical caveats: no native web search on this route, and chat attachments currently emphasize image input even though the model itself understands audio. For teams that want an open, customizable multimodal foundation with ZDR-compatible gateway routing, Inkling is a strong addition.

Mistral Large 3

Mistral Large 3 is the French lab's flagship dense model, and on just4o.chat it runs through the Vercel AI Gateway under the mistral/mistral-large-3 route. It pairs strong general reasoning with the multilingual fluency Mistral is known for — European languages in particular — and reliable function calling for tool-driven workflows. A 256k-token context window is roomy enough for long documents, multi-file code, or extended chats without truncation, and at $0.50 per million input and $1.50 per million output tokens it sits at the affordable end of frontier-class models. On just4o.chat it is a base-tier model available on every plan, billed at 2 base requests per send before length multipliers. One practical note worth flagging up front: like the rest of the Mistral lineup here, it has no native web search, and it is text-only — no image input. For teams that want a capable, cost-disciplined generalist with first-rate multilingual handling, it is an easy default.