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Cogito V2 Preview Llama 109B

deepcogito/cogito-v2-preview-llama-109b-moe

Created Sep 2, 202532,767 context
$0.18/M input tokens$0.59/M output tokens

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

Providers for Cogito V2 Preview Llama 109B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Cogito V2 Preview Llama 109B

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Total usage per day on OpenRouter

Prompt
246K
Completion
9K
Reasoning
0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Cogito V2 Preview Llama 109B

Uptime stats for Cogito V2 Preview Llama 109B across all providers

Sample code and API for Cogito V2 Preview Llama 109B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.