Cogito V2 Preview Llama 109B
By Deepcogito
Released: 2025-09-02
Deepcogito Cogito V2 Preview Llama 109B MoE features 109B parameters and MoE architecture. An instruction-tuned, hybrid-reasoning Mixture-of-Experts model built on Llama-4-Scout-17B-16E. Cogito v2 can answer directly or engage an extended “thinking” phase, with alignment guided by Iterated Distillation & Amplification (IDA). It targets coding, STEM, instruction following, and general helpfulness, with stronger multilingual, tool-calling, and reasoning performance than size-equivalent baselines. The model supports long-context use (up to 10M tokens) and standard Transformers workflows. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) Available at $0.18/1M tokens.
Visit Cogito V2 Preview Llama 109BAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Deepcogito Model Timeline
128k tokens context
33k tokens context
33k tokens context
33k tokens context
Specifications
AI Evaluation
Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.
Pros
- Competitive pricing ($0.18/1M)
- Large-scale 109B architecture
- Strong code generation and debugging
- Advanced logical reasoning
Cons
- Requires substantial compute
- May lack creative flair
- Preview release - may change
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