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Cogito V2 Preview Llama 109B

by Deep Cogito

An instruction-tuned, hybrid-reasoning Mixture-of-Experts model built on Llama-4-Scout-17B-16E. Cogito v2 can answer directly or engage an extended “thinking” phase, with alignment guided by Iterated Distillation & Amplification (IDA). It targets coding, STEM, instruction following, and general helpfulness, with stronger multilingual, tool-calling, and reasoning performance than size-equivalent baselines. The model supports long-context use (up to 10M tokens) and standard Transformers workflows. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)

Avg Score

62.7%

13 answers

Avg Latency

7.3s

9 runs

Pricing

$0.18

input

/

$0.59

output

per 1M tokens

Context

33K

tokens

Alternatives

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No alternatives found

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Other Models from Deep Cogito

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ModelScoreLatencyCost/1M
Deep Cogito: Cogito v2.1 671B69.6%10.0s$1.25
Deep Cogito: Cogito V2 Preview Llama 405B64.2%25.8s$3.50
Deep Cogito: Cogito V2 Preview Llama 70B51.5%13.6s$0.88

Benchmark Performance

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Price vs Performance

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Current model (baseline)
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Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

Get started with this model using OpenRouter

View on OpenRouter
import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "deepcogito/cogito-v2-preview-llama-109b-moe",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

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