Deep Cogito: Cogito v2.1 671B
Analysis Summary
Cogito v2.1 671B is Deep Cogito's large-parameter open-weight model, with a coding index of 24.8 and an agentic index of 16.7. GPQA at 0.768 and MMLU Pro at 0.849 indicate reasonable knowledge breadth, and livecodebench at 0.688 is respectable. However, the absence of an intelligence index means overall reasoning capability cannot be fully benchmarked, and the agentic score is low for a 671B model.
For businesses, the model's knowledge scores make it potentially useful for content generation and research tasks, but the low agentic index and absence of tool use or function calling limit its applicability to automated pipelines. The 128K context window is adequate for most document tasks.
At $1.25 input and $1.25 output (symmetric pricing), cost is moderate. Without a confirmed intelligence index and with limited agentic capability, this model is best treated as a knowledge-retrieval or content-drafting tool rather than a reasoning or automation engine. Teams should test carefully before committing to production use.
Assessed June 6, 2026
Editorial notes
Deep Cogito Cogito v2.1 671B has no intelligence index, with moderate coding and limited agentic scores; strong MMLU Pro and GPQA suggest knowledge breadth but overall capability is unverified at the system level.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Deep Cogito: Cogito v2.1 671B compares
#118 of 317 for coding, #203 of 292 for agentic tasks. Its 128K-token context window is larger than 43% of the models we list. At $1.25 per million input tokens it is cheaper than 21% of comparable models.
About Deep Cogito: Cogito v2.1 671B
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..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Deep Cogito: Cogito v2.1 671B stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
deepcogito/cogito-v2.1-671b
|
| Provider | deepcogito |
| Release Date | November 13, 2025 |
| Context Length | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $1.25 | $0.001250 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Deep Cogito: Cogito v2.1 671B
How much does Deep Cogito: Cogito v2.1 671B cost?
Deep Cogito: Cogito v2.1 671B costs $1.25 per million input tokens and $1.25 per million output tokens.
What is the context window of Deep Cogito: Cogito v2.1 671B?
Deep Cogito: Cogito v2.1 671B has a context window of 128,000 tokens (128K).
Is Deep Cogito: Cogito v2.1 671B good for coding?
On our coding benchmark index, Deep Cogito: Cogito v2.1 671B ranks #118 of 317 models, placing it in the broader range of the field for code generation and debugging.
Who created Deep Cogito: Cogito v2.1 671B?
Deep Cogito: Cogito v2.1 671B is developed by Deep Cogito and was released on November 13, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 17, 2026 9:41 am