Cogito v2.1 671B

Cogito v2.1 671B is a 671-billion parameter mixture-of-experts model trained with self-play reinforcement learning, offering a 128k token context window.

Strengths

Delivers strong performance across general reasoning and instruction-following tasks, matching or approaching frontier model capabilities through its scale and self-play training approach.

Best for

Complex reasoning workloads, long-context document processing, and general-purpose inference where open-weight model compatibility is required.

Limitations

As a large model, it requires substantial computational resources to run; performance gains may not justify deployment costs for latency-sensitive or throughput-critical applications.