DeepSeek
DeepSeek-R1
CurrentLatestDeepSeek-R1 is a reasoning-focused model family emphasizing chain-of-thought style behavior for math, code, and structured problem solving.
Reasoning LLM · Release — · See vendor
Featured · Updated 1 day ago · Verified Apr 2026 · Score 86
Decision summary
Why teams reach for it, where it fits, and what to watch for — before you dive into specs.
Why teams choose it
- Reasoning models need task routing—don’t send trivial prompts here.
- Watch for policy constraints in regulated industries.
Best use cases
- Use this when competition math and code coaching
- Use this when offline research clusters
Tradeoffs
- Latency and cost higher than non-reasoning chat models.
- Safety tooling is operator-owned when self-hosting.
Technical details
Modalities, benchmarks, and release context.
Modalities
What goes in and what comes out.
- Inputs
- text
- Outputs
- text
- Capabilities
- reasoning, math, coding
Benchmarks snapshot
Structured JSON for reproducible comparisons.
No benchmark data yet — see comparisons for relative performance.
Family lineup
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Current family lineup
Continue exploring
A short set of comparisons, nearby models, and links to go deeper — without repeating the same paths.
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Learn & build
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