Models / Deep Cogito

Deep Cogito

Cogito v2 models achieve frontier performance through iterative self-improvement, delivering 60% shorter reasoning chains than competing models at a fraction of the cost.

Why Deep Cogito on Together AI?

Designed for production workloads that need 
consistent performance and operational control.

Iterative self-improvement

First reasoning models to improve core intelligence, not just search time. Models develop stronger intuition through distillation of reasoning processes — delivering 60% shorter reasoning chains than DeepSeek R1 with superior performance.

Breakthrough efficiency

Complete model family trained for under $3.5M total cost. Significantly more efficient than capital-intensive approaches — proving superintelligence research is accessible to the broader ecosystem.

Open superintelligence

All models released under open license for commercial use. Complete transparency in the reasoning process with visible thinking tags — build on the research or deploy without restrictions.

Meet the Deep Cogito family

Explore top-performing models across text, image, video, code, and voice.

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Cogito v2 preview - 671B MoE

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Cogito v2.1 671B

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Cogito v2 preview - 405B

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Cogito V1 Preview Llama 70B

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Cogito V1 Preview Qwen 32B

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Cogito V1 Preview Qwen 14B

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Cogito V1 Preview Llama 3B

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Cogito v2 preview - 109B MoE

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Cogito v2 preview - 70B

Deployment options

Run models using different deployment options depending on latency needs, traffic patterns, and infrastructure control.

  • Serverless Inference

  • Provisioned 
Throughput

  • Dedicated Model 
Inference

  • Dedicated Container 
Inference

Serverless Inference

A fully managed real-time or batch inference API with access to dozens of the most popular AI models.

Best for

Variable or unpredictable traffic

Rapid prototyping and iteration

Cost-sensitive or early-stage production workloads

Provisioned 
Throughput

Reserved token capacity with SLA guarantees. Priced in PTUs, a normalized throughput unit. 

Best for

Production workloads

Reliability guarantees

Predictable pricing

Dedicated Model 
Inference

An inference endpoint backed by reserved, isolated compute resources and Together AI inference research.

Best for

Predictable or steady traffic

Latency-sensitive applications

High-throughput production workloads

Dedicated Container 
Inference

Run inference with your own engine and model on fully-managed, scalable infrastructure.

Best for

Generative media models

Non-standard runtimes

Custom inference pipelines

Serverless Inference

A fully managed real-time or batch inference API with access to dozens of the most popular AI models.

2.75x faster

Best for

Variable or unpredictable traffic

Rapid prototyping and iteration

Cost-sensitive or early-stage production workloads

Provisioned 
Throughput

Process massive workloads of up to 30 billion tokens asynchronously, at up to 50% less cost.

up to 90% lower cost

Best for

Production workloads

Reliability guarantees

Predictable pricing

Dedicated Model 
Inference

An inference endpoint backed by reserved, isolated compute resources and the Together AI inference engine.

3.18x faster with ATLAS

Best for

Predictable or steady traffic

Latency-sensitive applications

High-throughput production workloads

Dedicated Container 
Inference

Run inference with your own engine and model on fully managed, scalable infrastructure.

100B+ params · 2–3x savings

Best for

Generative media models

Non-standard runtimes

Custom inference pipelines