LLM Reference

DeepSeek R1 Zero

Released
2025-01-20
Last refreshed
2026-05-19
Status
Researched 16d ago
Open SourceLong context

DeepSeek R1 Zero has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating long context
  • Workloads that can use a 128k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2025-01-20
Context
128k
Parameters
671B, 37B Active
Architecture
Mixture of Experts
Specialization
general
Training
multistage
Fine-tuning
task_specific
Created by

Advancing artificial general intelligence (AGI).

Hangzhou, Zhejiang, China
Founded 2023
Website
Pricing

No tracked provider token pricing is available yet.

About

DeepSeek R1 Zero is DeepSeek's DeepSeek R1 model with an optional reasoning mode. It offers a 128K-token context window with weights openly available for self-hosting.

DeepSeek R1 Zero is an open-source model in the DeepSeek R1 family. The structured metadata tracks a 128k-token context window and reasoning. No headline benchmark score is tracked for DeepSeek R1 Zero yet.

Top use-case fit

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Reasoning

Benchmark peer barsfor Long context

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(8)

Comparison and alternatives

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