Cogito v2.1 671B API128K context
Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is 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...
Cogito v2.1 671B pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| Cogito v2.1 671B | $1.25 | $1.25 | — | — | 128K |
On output price, Cogito v2.1 671B is cheaper than 54% of the 309 models in the catalog.
What Cogito v2.1 671B costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $65.00 |
| RAG / knowledge base | 200M / 20M | $275 |
| Coding agent | 80M / 25M | $131 |
| Batch extraction | 150M / 8M | $198 |
| Content generation | 20M / 40M | $75.00 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
Cogito v2.1 671B vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Cogito v2.1 671B | $1.25 | $1.25 | 128K | — |
| Claude 3 Haiku | $0.25 | $1.25 | 200K | — |
| ERNIE 4.5 VL 424B A47B | $0.42 | $1.25 | 131K | — |
| GPT-5.4 Nano | $0.20 | $1.25 | 400K | — |
When not to use Cogito v2.1 671B
- It is served by a single provider, so there is less failover headroom during an outage.
Specs
| Model ID | deepcogito/cogito-v2.1-671b |
| Modality | text->text (input: text) |
| Context window | 128,000 tokens |
| Tool / function calling | — |
| Structured output (JSON) | ✅ Yes |
| Released | 2025-11-13 |
| Open weights | — (hosted API only) |
How to call Cogito v2.1 671B
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="deepcogito/cogito-v2.1-671b",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepcogito/cogito-v2.1-671b","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "deepcogito/cogito-v2.1-671b",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Cogito v2.1 671B and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Cogito v2.1 671B
- State the goal, not every step. Cogito v2.1 671B reasons internally — give it the objective, constraints and success criteria and let it plan the approach; over-scripting each step tends to lower quality. Turn effort up for hard problems.
- Constrain JSON with a schema. Use
response_format/ structured outputs rather than "reply in JSON" to get valid, parseable objects every time.
Tips are derived from Cogito v2.1 671B's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Cogito v2.1 671B
Popular open-source frameworks and agents to build with Cogito v2.1 671B over the API — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (agent frameworks, SDKs and gateways), not affiliation. Stars change — see each repo for current numbers.
Migrating to Cogito v2.1 671B
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → deepcogito/cogito-v2.1-671b. Messages, streaming and the rest of your code stay the same. Routing & failover guide.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.
Related reading
Call Cogito v2.1 671B with one key
300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.
Get an API keyCompare pricingFrequently asked questions
What is 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. It accepts text input with a 128K-token context window and was released on 2025-11-13. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Cogito v2.1 671B cost?
On DataLLM Lab it is $1.25 per 1M input tokens and $1.25 per 1M output tokens — cheaper than about 54% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Cogito v2.1 671B?
128K tokens.
Is Cogito v2.1 671B open source?
No open weights are published — it is available through hosted API access only.
How do I call the Cogito v2.1 671B API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "deepcogito/cogito-v2.1-671b". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to Cogito v2.1 671B?
Close options by price and capability include Claude 3 Haiku, ERNIE 4.5 VL 424B A47B , GPT-5.4 Nano — all callable with the same DataLLM Lab key.