Analysis Summary
Deep Cogito's Cogito v2.1 671B is a text-only model with a 128K context window and broad benchmark coverage. The available results show useful mathematics, general knowledge, instruction-following, and coding ability, but weaker long-context retention and terminal-oriented performance. Its $1.25 input and output pricing gives it a balanced cost profile.
It can support research drafting, coding assistance, structured analysis, and internal knowledge tasks where human review remains part of the process. The absence of a reported intelligence index makes direct positioning against fully measured models difficult, and there is no supplied evidence of vision, tool use, or function calling. Treat it as an economical text specialist rather than a first choice for autonomous client workflows.
Assessed September 7, 2026
Editorial notes
Cogito v2.1 671B provides a 128K context and measured reasoning, mathematics, and coding capability at balanced pricing. Its weaker long-context and terminal performance make it better for assisted analysis than autonomous production agents.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Cogito v2.1 671B provides a 128K context and measured reasoning, mathematics, and coding capability at balanced pricing. Its weaker long-context and terminal performance make it better for assisted analysis than autonomous production agents.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
72.7 Math Index
How Deep Cogito: Cogito v2.1 671B compares
Its 128K-token context window is larger than 35% of the models we list. At $1.25 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $1.25 | $0.001250 |
What would Deep Cogito: Cogito v2.1 671B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Deep Cogito: Cogito v2.1 671B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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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).
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 the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm