Open-source reasoning model that rivals the best closed models
DeepSeek's R1 and V3 models deliver frontier-level reasoning and coding performance at a fraction of the API cost of GPT-4o and Claude. The models are fully open-source, self-hostable, and have become a serious choice for developers and enterprises watching inference costs.
ShareTool Verdict- 8/10
The most significant cost disruption in AI APIs since GPT-4 - R1's benchmark performance at 95% lower cost than o1 is hard to ignore if you are not blocked by data residency requirements
The developer community was genuinely surprised by DeepSeek R1's benchmark performance and pricing. Enterprise users remain cautious due to China-based data handling. Open-source enthusiasts are excited about self-hosting possibilities.
“R1 solved a math problem that my $200/month o1 API subscription got wrong. At a fraction of the cost.”
Reddit“I want to use this but cannot get our security team to approve a Chinese AI provider for anything customer-facing”
Reddit“Self-hosted R1 on our own servers. No data concerns, and the quality is genuinely competitive with o1.”
Reddit“The visible reasoning traces are fascinating - you can actually trace exactly where it goes wrong”
Free
Free
Unlimited chat at chat.deepseek.com, web and mobile
API - V3
Free
$0.07/M input tokens - 90% cheaper than GPT-4o
API - R1
Free
$0.14/M input tokens - 95% cheaper than o1
Yes. DeepSeek V3 and R1 model weights are fully open-source and available on Hugging Face under a permissive license that allows commercial use and self-hosting.
On standard benchmarks including MATH, HumanEval, and MMLU, R1 performs comparably to o1. The major difference is cost: R1 via the API costs $0.14 per million input tokens versus $15 for o1 - over 100x cheaper for equivalent reasoning tasks.
The chat interface at chat.deepseek.com is completely free with no usage limits or credit card required. API access is pay-per-token with no monthly minimum.
For sensitive business or personal data, exercise caution. DeepSeek is based in China and subject to Chinese data regulations. Self-hosting the open-source model weights eliminates the data residency concern entirely, but requires your own GPU infrastructure.
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“Capacity issues lasted a week after the big launch news. Getting more reliable now but still not at OpenAI infrastructure levels”
RedditAnalyzed from community discussions on reddit.com · June 2026
Yes. All model weights are publicly available on Hugging Face. The full R1 model requires significant GPU resources. Quantized versions run on consumer hardware. Several cloud providers also offer hosted DeepSeek inference at competitive pricing.
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