R1
by DeepSeek
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf
Models
R1
Added 10 July 2026
Overview
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Best for
Best for
Cost-sensitive reasoning and coding agents
Use cases
- batch analysis
- coding assistants on a budget
- eval baselines
How to use / API access
Call via OpenRouter with model id `deepseek/deepseek-r1`.
- openrouter ·
deepseek/deepseek-r1Docs
OpenRouter id: deepseek/deepseek-r1
Benchmarks
- Intelligence Index (artificial-analysis) : 18.5 index
- Coding Index (artificial-analysis) : 24.6 index
- Agentic Index (artificial-analysis) : 3.1 index
Enterprise DNA angle
Omni lets teams A/B DeepSeek against Sonnet on real jobs with shared eval harnesses.
Notes
R1 is listed in the EDNA Models directory from the OpenRouter catalogue.
Pros
- Strong reasoning at aggressive price points
- Good coding signal for the cost
- Useful open-weight-adjacent economics via OpenRouter
Cons
- Ecosystem and safety tooling less mature than frontier US labs
- Quality variance across tasks — eval before production
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