Cogito v2.1 671B
VerifiedProprietary 671B LLM for extended text processing tasks.
About Cogito v2.1 671B
Cogito v2.1 671B is built as a proprietary large language model by Deepcogito. It features a context window of 128000 tokens and operates exclusively in text modality. The model parameters are not publicly disclosed beyond the indicated scale.
With its substantial size, the model supports intricate language understanding and generation tasks. Being closed-weight, it remains accessible only through Deepcogito's platforms or APIs. This design prioritizes controlled deployment and updates.
Users typically apply Cogito v2.1 in professional settings requiring high-capacity text processing. It suits applications like content creation, analysis, and conversational agents over extended dialogues.
Capabilities
How Cogito v2.1 671B compares
Cogito v2.1 671B (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Cogito v2.1 671B ranks #66 of 98
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-form document analysis
The 128k token context allows Cogito v2.1 671B to process and synthesize entire technical manuals, legal contracts, or research papers in a single pass.
Complex multi-step reasoning
Its scale supports chained logical inference across large datasets for tasks such as scientific hypothesis generation or financial modeling.
Enterprise knowledge base querying
The model handles retrieval and summarization over massive internal company archives while maintaining coherence across extended conversations.
Strengths & limitations
Strengths
- +Very large parameter count for deep language understanding
- +Strong support for extended document and conversation contexts
- +Flexible text-only LLM performance across tasks
Limitations
- –Text modality only with no vision capabilities
- –High compute and latency costs from extreme scale
- –No native multimodal or tool-use extensions described
Cost calculator
Estimate what Cogito v2.1 671B would cost for your usage.
Based on Cogito v2.1 671B's $1.25/1M input · $1.25/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "deepcogito/cogito-v2.1-671b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: deepcogito/cogito-v2.1-671b
Editor's verdict
Cogito v2.1 671B is Deepcogito's proprietary language models with a 128K-token context window.
At $1.25 per 1M output tokens, it is mid-priced for its class.
It is available through Deepcogito's API and aggregators like OpenRouter.
Best suited to very large parameter count for deep language understanding and strong support for extended document and conversation contexts.
Frequently asked questions
The model supports a context window of 128,000 tokens.
User reviews
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