Deep Cogito • LLM
Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...
Context Window
128K tokens
Input Price/1M
$1.25
Output Price/1M
$1.25
Parameters
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Deep Cogito: Cogito v2.1 671B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 68.8 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 24.8 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 72.7 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 72.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 84.9 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 76.8 | 100.0 | Artificial Analysis official API |
Deep Cogito: Cogito v2.1 671B is an AI model developed by Deep Cogito, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Deep Cogito's cloud API. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Deep Cogito: Cogito v2.1 671B is usage-based, priced at $1.25/1M input tokens and $1.25/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Deep Cogito: Cogito v2.1 671B was evaluated on 6 different benchmarks, covering categories like Coding, Math, Reasoning. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Deep Cogito: Cogito v2.1 671B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Deep Cogito: Cogito v2.1 671B competes directly with similarly capable models. Deep Cogito competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...
Deep Cogito: Cogito v2.1 671B costs $1.25/1M input tokens and $1.25/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Deep Cogito: Cogito v2.1 671B scored: LiveCodeBench: 68.8/100, AA Coding Index: 24.8/100, AA Math Index: 72.7/100. See the full table above for a detailed comparison.
No, Deep Cogito: Cogito v2.1 671B is a proprietary model from Deep Cogito. It is available via cloud API. For open source alternatives, check our open source model ranking.
Deep Cogito: Cogito v2.1 671B excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: May 15, 2026 • View methodology →