DeepSeek-R1-0528: BEST Opensource Reasoning Model

Source: YouTube — WorldofAI, published 2025-05-28 Model covered: DeepSeek R1-0528

Summary

WorldofAI benchmarks the R1-0528 release of DeepSeek R1 — an MIT-licensed 671B-parameter Mixture-of-Experts model with 37B active params and a 136K context window. Achieves MMLU competitive with O3-high and GPT-4 mini on chain-of-thought reasoning tasks. Available free via OpenRouter (rate-limited) or 5 per million tokens via DeepSeek’s own API. Demoed: multi-step unit-conversion math (~107s reasoning, correct answer) and a full animated SaaS landing-page generation.

Key facts

  • Params: 671B total, 37B active (MoE)
  • Context: 136K
  • License: MIT — fully unrestricted (no Commons Clause, no acceptable-use nuance)
  • Pricing: 5/M output via DeepSeek API; free tier on OpenRouter
  • MMLU: competitive with OpenAI O3-high and GPT-4 mini

Why the release matters

R1-0528 is a refresh, not a new model — but the combination of MIT license + 136K context + free OpenRouter tier + reasoning-grade benchmarks is what makes it the wiki’s new default recommendation for “free local-equivalent reasoning model.”

This release directly enables several other tools in this batch:

  • codename-goose — Block’s Claude Code alternative; the recommended free model is exactly this one via OpenRouter
  • Stagehand v2 — Browserbase’s model eval picks DeepSeek R1 distilled Qwen 32B as fastest + cheapest
  • DeerFlow — ByteDance’s research framework optimizes for “deep reasoning models,” DeepSeek R1 explicitly named
  • AgenticSeek — recommended local model

The pattern: R1-0528 is becoming the default open-weights reasoning backbone for the open-source agent ecosystem in mid-2025.

Demos in the source

  • Math reasoning: multi-step unit conversion problem; ~107 seconds of chain-of-thought; correct answer
  • SaaS landing page: full animated UI with hero, features, pricing tiers, profile section — generated in one shot

See Also